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<pubDate>Wed, 20 Aug 2008 21:23:57 BST</pubDate>


	<title>CiteULike: luk's library [28 articles]</title>
	<description>CiteULike: luk's library [28 articles]</description>


	<link>http://www.citeulike.org/user/luk</link>
	<dc:publisher>CiteULike.org</dc:publisher>
	<dc:language>en-gb</dc:language>
	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/71749"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/2393273"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/2393266"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/352536"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1346292"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1105342"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/131501"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1181705"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1181696"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1181695"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1181683"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1181680"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/1181677"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967431"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/937309"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967422"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967416"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/937315"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967410"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967409"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967408"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967407"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967406"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967405"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967404"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967403"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/luk/article/967402"/>
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<item rdf:about="http://www.citeulike.org/user/luk/article/71749">
    <title>The Small-World Phenomenon: An Algorithmic Perspective</title>
    <link>http://www.citeulike.org/user/luk/article/71749</link>
    <description>&lt;i&gt;(# 2000)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Long a matter of folklore, the &#34;small-world phenomenon&#34; -- the principle that we are all linked by short chains of acquaintances -- was inaugurated as an area of experimental study in the social sciences through the pioneering work of Stanley Milgram in the 1960's. This work was among the first to make the phenomenon quantitative, allowing people to speak of the &#34;six degrees of separation&#34; between any two people in the United States. Since then, a number of network models have been proposed as...</description>
    <dc:title>The Small-World Phenomenon: An Algorithmic Perspective</dc:title>

    <dc:creator>Jon Kleinberg</dc:creator>
    <dc:source>(# 2000)</dc:source>
    <dc:date>2005-01-02T16:34:15-00:00</dc:date>
    <prism:category>no-tag</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/2393273">
    <title>The World of Music: SDP Embedding of High Dimensional data</title>
    <link>http://www.citeulike.org/user/luk/article/2393273</link>
    <description>&lt;i&gt;(2005)&lt;/i&gt;</description>
    <dc:title>The World of Music: SDP Embedding of High Dimensional data</dc:title>

    <dc:creator>David Gleich</dc:creator>
    <dc:creator>Leonid Zhukov</dc:creator>
    <dc:creator>Matthew Rasmussen</dc:creator>
    <dc:creator>Kevin Lang</dc:creator>
    <dc:source>(2005)</dc:source>
    <dc:date>2008-02-18T10:23:18-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:category>musicworld</prism:category>
    <prism:category>recommender</prism:category>
    <prism:category>self</prism:category>
    <prism:category>systems</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/2393266">
    <title>Fast Embedding of Sparse Music Similarity Graphs</title>
    <link>http://www.citeulike.org/user/luk/article/2393266</link>
    <description>&lt;i&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;This paper applies fast sparse multidimensional scaling (MDS) to a large graph of music similarity, with 267K vertices that represent artists, albums, and tracks; and 3.22M edges that represent similarity between those entities. Once vertices are assigned locations in a Euclidean space, the locations can be used to browse music and to generate playlists.</description>
    <dc:title>Fast Embedding of Sparse Music Similarity Graphs</dc:title>

    <dc:creator>John Platt</dc:creator>
    <dc:date>2008-02-18T10:15:53-00:00</dc:date>
    <prism:category>musciworld</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/352536">
    <title>Multiple View Geometry in Computer Vision</title>
    <link>http://www.citeulike.org/user/luk/article/352536</link>
    <description>&lt;i&gt;(25 March 2004)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;How to reconstruct scenes from images using geometry and algebra, with applications to computer vision.</description>
    <dc:title>Multiple View Geometry in Computer Vision</dc:title>

    <dc:creator>Richard Hartley</dc:creator>
    <dc:creator>Andrew Zisserman</dc:creator>
    <dc:source>(25 March 2004)</dc:source>
    <dc:date>2005-10-17T03:24:48-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publisher>Cambridge University Press</prism:publisher>
    <prism:category>multiple-view-geometry</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1346292">
    <title>Invisible shadow for navigation and planning in minimal invasive surgery</title>
    <link>http://www.citeulike.org/user/luk/article/1346292</link>
    <description>&lt;i&gt;Medical Image Computing and Computer Assisted Intervention (2005), pp. 25-32.&lt;/i&gt;</description>
    <dc:title>Invisible shadow for navigation and planning in minimal invasive surgery</dc:title>

    <dc:creator>M Nicolaou</dc:creator>
    <dc:creator>Andrew James</dc:creator>
    <dc:creator>Benny Lo</dc:creator>
    <dc:creator>Ara Darzi</dc:creator>
    <dc:creator>Yang Guang-Zhong</dc:creator>
    <dc:source>Medical Image Computing and Computer Assisted Intervention (2005), pp. 25-32.</dc:source>
    <dc:date>2007-05-31T12:09:31-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:publicationName>Medical Image Computing and Computer Assisted Intervention</prism:publicationName>
    <prism:startingPage>25</prism:startingPage>
    <prism:endingPage>32</prism:endingPage>
    <prism:category>endoscopy</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1105342">
    <title>An integrated linear technique for pose estimation from different features</title>
    <link>http://www.citeulike.org/user/luk/article/1105342</link>
    <description>&lt;i&gt;(1999)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Solutions to the pose estimation problem can be classified into linear (direct) solutions and non-linear solutions. For computer vision and photogrammetric applications, methods that offer a direct solution are important because their computational efficiency makes automation feasible. Furthermore, direct methods offer an effective way to obtain initial estimates for use as input to the non-linear, iterative methods. Existing direct solutions for pose estimation, however, are very susceptible...</description>
    <dc:title>An integrated linear technique for pose estimation from different features</dc:title>

    <dc:creator>Q Ji</dc:creator>
    <dc:creator>M Costa</dc:creator>
    <dc:creator>R Haralick</dc:creator>
    <dc:creator>L Shapiro</dc:creator>
    <dc:source>(1999)</dc:source>
    <dc:date>2007-02-13T17:22:41-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:category>pose-estimation</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/131501">
    <title>Digital Image Processing (2nd Edition)</title>
    <link>http://www.citeulike.org/user/luk/article/131501</link>
    <description>&lt;i&gt;(15 January 2002)&lt;/i&gt;</description>
    <dc:title>Digital Image Processing (2nd Edition)</dc:title>

    <dc:creator>Rafael Gonzalez</dc:creator>
    <dc:creator>Richard Woods</dc:creator>
    <dc:source>(15 January 2002)</dc:source>
    <dc:date>2005-03-17T20:14:20-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publisher>Prentice Hall</prism:publisher>
    <prism:category>image-processing</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1181705">
    <title>Examining smart-card security under the threat of power analysis attacks</title>
    <link>http://www.citeulike.org/user/luk/article/1181705</link>
    <description>&lt;i&gt;Computers, IEEE Transactions on, Vol. 51, No. 5. (2002), pp. 541-552.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;This paper examines how monitoring power consumption signals might breach smart-card security. Both simple power analysis and differential power analysis attacks are investigated. The theory behind these attacks is reviewed. Then, we concentrate on showing how power analysis theory can be applied to attack an actual smart card. We examine the noise characteristics of the power signals and develop an approach to model the signal-to-noise ratio (SNR). We show how this SNR can be significantly improved using a multiple-bit attack. Experimental results against a smart-card implementation of the Data Encryption Standard demonstrate the effectiveness of our multiple-bit attack. Potential countermeasures to these attacks are also discussed</description>
    <dc:title>Examining smart-card security under the threat of power analysis attacks</dc:title>

    <dc:creator>TS Messerges</dc:creator>
    <dc:creator>EA Dabbish</dc:creator>
    <dc:creator>RH Sloan</dc:creator>
    <dc:source>Computers, IEEE Transactions on, Vol. 51, No. 5. (2002), pp. 541-552.</dc:source>
    <dc:date>2007-03-23T14:27:58-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Computers, IEEE Transactions on</prism:publicationName>
    <prism:volume>51</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>541</prism:startingPage>
    <prism:endingPage>552</prism:endingPage>
    <prism:category>power-analysis</prism:category>
    <prism:category>smartcard</prism:category>
    <prism:category>system-security</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1181696">
    <title>Power Analysis Tutorial</title>
    <link>http://www.citeulike.org/user/luk/article/1181696</link>
    <description>&lt;i&gt;&lt;/i&gt;</description>
    <dc:title>Power Analysis Tutorial</dc:title>

    <dc:creator>Manfred Aigner</dc:creator>
    <dc:creator>Elisabeth Oswald</dc:creator>
    <dc:date>2007-03-23T14:19:01-00:00</dc:date>
    <prism:category>gtr</prism:category>
    <prism:category>power-analysis</prism:category>
    <prism:category>smartcard</prism:category>
    <prism:category>system-security</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1181695">
    <title>Differential Power Analysis</title>
    <link>http://www.citeulike.org/user/luk/article/1181695</link>
    <description>&lt;i&gt;Lecture Notes in Computer Science, Vol. 1666 (1999), pp. 388-397.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;. Cryptosystem designers frequently assume that secrets will be manipulated in closed, reliable computing environments. Unfortunately, actual computers and microchips leak information about the operations they process. This paper examines specific methods for analyzing power consumption measurements to find secret keys from tamper resistant devices. We also discuss approaches for building cryptosystems that can operate securely in existing hardware that leaks information. Keywords:...</description>
    <dc:title>Differential Power Analysis</dc:title>

    <dc:creator>Paul Kocher</dc:creator>
    <dc:creator>Joshua Jaffe</dc:creator>
    <dc:creator>Benjamin Jun</dc:creator>
    <dc:source>Lecture Notes in Computer Science, Vol. 1666 (1999), pp. 388-397.</dc:source>
    <dc:date>2007-03-23T14:15:59-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:publicationName>Lecture Notes in Computer Science</prism:publicationName>
    <prism:volume>1666</prism:volume>
    <prism:startingPage>388</prism:startingPage>
    <prism:endingPage>397</prism:endingPage>
    <prism:category>differential-power-attack</prism:category>
    <prism:category>gtr</prism:category>
    <prism:category>smartcard</prism:category>
    <prism:category>system-security</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1181683">
    <title>Cryptographic Processors-a survey</title>
    <link>http://www.citeulike.org/user/luk/article/1181683</link>
    <description>&lt;i&gt;Proceedings of the IEEE, Vol. 94, No. 2. (2006), pp. 357-369.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Tamper-resistant cryptographic processors are becoming the standard way to enforce data-usage policies. Their origins lie with military cipher machines and PIN processing in banking payment networks, expanding in the 1990s into embedded applications: token vending machines for prepayment electricity and mobile phone credit. Major applications such as GSM mobile phone identification and pay TV set-top boxes have pushed low-cost cryptoprocessors toward ubiquity. In the last five years, dedicated crypto chips have been embedded in devices such as game console accessories and printer ink cartridges, to control product and accessory after markets. The &#34;Trusted Computing&#34; initiative will soon embed cryptoprocessors in PCs so they can identify each other remotely. This paper surveys the range of applications of tamper-resistant hardware and the array of attack and defense mechanisms which have evolved in the tamper-resistance arms race.</description>
    <dc:title>Cryptographic Processors-a survey</dc:title>

    <dc:creator>R Anderson</dc:creator>
    <dc:creator>M Bond</dc:creator>
    <dc:creator>J Clulow</dc:creator>
    <dc:creator>S Skorobogatov</dc:creator>
    <dc:source>Proceedings of the IEEE, Vol. 94, No. 2. (2006), pp. 357-369.</dc:source>
    <dc:date>2007-03-23T14:01:40-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>Proceedings of the IEEE</prism:publicationName>
    <prism:volume>94</prism:volume>
    <prism:number>2</prism:number>
    <prism:startingPage>357</prism:startingPage>
    <prism:endingPage>369</prism:endingPage>
    <prism:category>cryptographic</prism:category>
    <prism:category>gtr</prism:category>
    <prism:category>processors</prism:category>
    <prism:category>system-security</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1181680">
    <title>Design Principles for Tamper-Resistant Smartcard Processors</title>
    <link>http://www.citeulike.org/user/luk/article/1181680</link>
    <description>&lt;i&gt;(1999), pp. 9-20.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We describe techniques for extracting protected software and data from smartcard processors. This includes manual microprobing, laser cutting, focused ion-beam manipulation, glitch attacks, and power analysis. Many of these methods have already been used to compromise widely-fielded conditional-access systems, and current smartcards offer little protection against them. We give examples of low-cost protection concepts that make such attacks considerably more difficult.</description>
    <dc:title>Design Principles for Tamper-Resistant Smartcard Processors</dc:title>

    <dc:creator>Oliver K&#246;mmerling</dc:creator>
    <dc:creator>Markus Kuhn</dc:creator>
    <dc:source>(1999), pp. 9-20.</dc:source>
    <dc:date>2007-03-23T13:59:29-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:startingPage>9</prism:startingPage>
    <prism:endingPage>20</prism:endingPage>
    <prism:category>design-principles</prism:category>
    <prism:category>gtr</prism:category>
    <prism:category>smartcard</prism:category>
    <prism:category>system-security</prism:category>
    <prism:category>tamper-resistant</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/1181677">
    <title>Cache-timing attacks on AES</title>
    <link>http://www.citeulike.org/user/luk/article/1181677</link>
    <description>&lt;i&gt;(2004)&lt;/i&gt;</description>
    <dc:title>Cache-timing attacks on AES</dc:title>

    <dc:creator>Daniel Bernstein</dc:creator>
    <dc:source>(2004)</dc:source>
    <dc:date>2007-03-23T13:55:51-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:category>aes</prism:category>
    <prism:category>cache-timing</prism:category>
    <prism:category>gtr</prism:category>
    <prism:category>smartcard</prism:category>
    <prism:category>system-security</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967431">
    <title>Implementation, calibration and accuracy testing of an image-enhanced endoscopy system</title>
    <link>http://www.citeulike.org/user/luk/article/967431</link>
    <description>&lt;i&gt;Medical Imaging, IEEE Transactions on, Vol. 21, No. 12. (2002), pp. 1524-1535.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;This paper presents a new method for image-guided surgery called image-enhanced endoscopy. Registered real and virtual endoscopic images (perspective volume renderings generated from the same view as the endoscope camera using a preoperative image) are displayed simultaneously; when combined with the ability to vary tissue transparency in the virtual images, this provides surgeons with the ability to see beyond visible surfaces and, thus, provides additional exposure during surgery. A mount with four photoreflective spheres is rigidly attached to the endoscope and its position and orientation is tracked using an optical position sensor. Generation of virtual images that are accurately registered to the real endoscopic images requires calibration of the tracked endoscope. The calibration process determines intrinsic parameters (that represent the projection of three-dimensional points onto the two-dimensional endoscope camera imaging plane) and extrinsic parameters (that represent the transformation from the coordinate system of the tracker mount attached to the endoscope to the coordinate system of the endoscope camera), and determines radial lens distortion. The calibration routine is fast, automatic, accurate and reliable, and is insensitive to rotational orientation of the endoscope. The routine automatically detects, localizes, and identifies dots in a video image snapshot of the calibration target grid and determines the calibration parameters from the sets of known physical coordinates and localized image coordinates of the target grid dots. Using nonlinear lens-distortion correction, which can be performed at real-time rates (30 frames per second), the mean projection error is less than 0.5 mm at distances up to 25 mm from the endoscope tip, and less than 1.0 mm up to 45 mm. Experimental measurements and point-based registration error theory show that the tracking error is about 0.5-0.7 mm at the tip of the endoscope and less than 0.9 mm for all points in the field of view of the endoscope camera at a distance of up to 65 mm from the tip. It is probable that much of the projection error is due to endoscope tracking error rather than calibration error. Two examples of clinical applications are presented to illustrate the usefulness of image-enha- nced endoscopy. This method is a useful addition to conventional image-guidance systems, which generally show only the position of the tip (and sometimes the orientation) of a surgical instrument or probe on reformatted image slices.</description>
    <dc:title>Implementation, calibration and accuracy testing of an image-enhanced endoscopy system</dc:title>

    <dc:creator>R Shahidi</dc:creator>
    <dc:creator>MR Bax</dc:creator>
    <dc:creator>CR Maurer</dc:creator>
    <dc:creator>JA Johnson</dc:creator>
    <dc:creator>EP Wilkinson</dc:creator>
    <dc:creator>Bai Wang</dc:creator>
    <dc:creator>JB West</dc:creator>
    <dc:creator>MJ Citardi</dc:creator>
    <dc:creator>KH Manwaring</dc:creator>
    <dc:creator>R Khadem</dc:creator>
    <dc:identifier>doi:10.1109/TMI.2002.806597</dc:identifier>
    <dc:source>Medical Imaging, IEEE Transactions on, Vol. 21, No. 12. (2002), pp. 1524-1535.</dc:source>
    <dc:date>2006-11-29T20:50:35-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Medical Imaging, IEEE Transactions on</prism:publicationName>
    <prism:volume>21</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>1524</prism:startingPage>
    <prism:endingPage>1535</prism:endingPage>
    <prism:category>endoscopy</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/937309">
    <title>Automated endoscopic navigation and advisory system from medical image</title>
    <link>http://www.citeulike.org/user/luk/article/937309</link>
    <description>&lt;i&gt;(1999)&lt;/i&gt;</description>
    <dc:title>Automated endoscopic navigation and advisory system from medical image</dc:title>

    <dc:creator>CK Kwoh</dc:creator>
    <dc:creator>GN Khan</dc:creator>
    <dc:creator>DF Gillies</dc:creator>
    <dc:source>(1999)</dc:source>
    <dc:date>2006-11-09T08:52:54-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:category>endoscopy</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967422">
    <title>Augmented reality for enhancement of endoscopic interventions</title>
    <link>http://www.citeulike.org/user/luk/article/967422</link>
    <description>&lt;i&gt;Virtual Reality, 2003. Proceedings. IEEE (2003), pp. 97-101.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Computer assisted operation planning systems win more and more recognition in the field of surgery. These systems offer new possibilities to prepare an intervention with the goal to shorten the expansive time in the operation room required for the intervention. The safest and most effective surgical approach should be selected. But often, it is difficult to transfer the output of the planning system to the intra-operative situation and so to consider the planning results in the real intervention. At the Fraunhofer Institute for Computer Graphics (IGD) in Darmstadt and the Centre for Advanced Media Technology (CAMTech) in Singapore, methods are developed to bridge the gap between the external planning session and the intra-operative case: augmented reality (AR) techniques are used to overlap preoperative scanned image data as well as results of the planning session to the operation field.</description>
    <dc:title>Augmented reality for enhancement of endoscopic interventions</dc:title>

    <dc:creator>U Bockholt</dc:creator>
    <dc:creator>A Bisler</dc:creator>
    <dc:creator>M Becker</dc:creator>
    <dc:creator>W Muller-Wittig</dc:creator>
    <dc:creator>G Voss</dc:creator>
    <dc:source>Virtual Reality, 2003. Proceedings. IEEE (2003), pp. 97-101.</dc:source>
    <dc:date>2006-11-29T20:41:34-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>Virtual Reality, 2003. Proceedings. IEEE</prism:publicationName>
    <prism:startingPage>97</prism:startingPage>
    <prism:endingPage>101</prism:endingPage>
    <prism:category>augmented-reality</prism:category>
    <prism:category>endoscopy</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967416">
    <title>3D reconstruction of the operating field for image overlay in 3D-endoscopic surgery.</title>
    <link>http://www.citeulike.org/user/luk/article/967416</link>
    <description>&lt;i&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Building a 3D model of the operating field is the first stage to access the registration of pre-operative surface models in per-operative context. We propose a method to learn the 3D model of the organs observed by a stereoscopic endoscope. This method is general and requires no a priori knowledge of the position of the instruments, whether robotized or manually-controlled, present in the field of view. The result of the learning process allows the removal of the instruments from the surgeon's...</description>
    <dc:title>3D reconstruction of the operating field for image overlay in 3D-endoscopic surgery.</dc:title>

    <dc:creator>Fabien Mourgues</dc:creator>
    <dc:creator>Frederic Devernay</dc:creator>
    <dc:creator>Eve Maniere</dc:creator>
    <dc:date>2006-11-29T20:34:57-00:00</dc:date>
    <prism:category>3d</prism:category>
    <prism:category>3d-reconstruction</prism:category>
    <prism:category>endoscopy</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/937315">
    <title>Reconstruction and Enhancement in Monocular Laparoscopic Imagery</title>
    <link>http://www.citeulike.org/user/luk/article/937315</link>
    <description>&lt;i&gt;Vol. 12 (2004)&lt;/i&gt;</description>
    <dc:title>Reconstruction and Enhancement in Monocular Laparoscopic Imagery</dc:title>

    <dc:creator>JJ Caban</dc:creator>
    <dc:creator>Brent Seales</dc:creator>
    <dc:source>Vol. 12 (2004)</dc:source>
    <dc:date>2006-11-09T08:53:03-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:volume>12</prism:volume>
    <prism:category>endoscopy</prism:category>
    <prism:category>reconstruction</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967410">
    <title>Segmenting curves into elliptic arcs and straight lines</title>
    <link>http://www.citeulike.org/user/luk/article/967410</link>
    <description>&lt;i&gt;(December 1990), pp. 75-78.&lt;/i&gt;</description>
    <dc:title>Segmenting curves into elliptic arcs and straight lines</dc:title>

    <dc:creator>PL Rosin</dc:creator>
    <dc:creator>GAW West</dc:creator>
    <dc:source>(December 1990), pp. 75-78.</dc:source>
    <dc:date>2006-11-29T20:27:20-00:00</dc:date>
    <prism:publicationYear>1990</prism:publicationYear>
    <prism:startingPage>75</prism:startingPage>
    <prism:endingPage>78</prism:endingPage>
    <prism:category>curve-segmenting</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967409">
    <title>Nonparametric segmentation of curves into various representations</title>
    <link>http://www.citeulike.org/user/luk/article/967409</link>
    <description>&lt;i&gt;IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 12. (December 1995), pp. 1140-1153.&lt;/i&gt;</description>
    <dc:title>Nonparametric segmentation of curves into various representations</dc:title>

    <dc:creator>PL Rosin</dc:creator>
    <dc:creator>GAW West</dc:creator>
    <dc:source>IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17, No. 12. (December 1995), pp. 1140-1153.</dc:source>
    <dc:date>2006-11-29T20:27:20-00:00</dc:date>
    <prism:publicationYear>1995</prism:publicationYear>
    <prism:publicationName>IEEE Transactions on Pattern Analysis and Machine Intelligence</prism:publicationName>
    <prism:volume>17</prism:volume>
    <prism:number>12</prism:number>
    <prism:startingPage>1140</prism:startingPage>
    <prism:endingPage>1153</prism:endingPage>
    <prism:category>computer</prism:category>
    <prism:category>curve</prism:category>
    <prism:category>detection</prism:category>
    <prism:category>edge</prism:category>
    <prism:category>extraction</prism:category>
    <prism:category>feature</prism:category>
    <prism:category>fitting</prism:category>
    <prism:category>polynomials</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967408">
    <title>A statistically efficient method for ellipse detection</title>
    <link>http://www.citeulike.org/user/luk/article/967408</link>
    <description>&lt;i&gt;Vol. 2 (October 1999), pp. 730-734.&lt;/i&gt;</description>
    <dc:title>A statistically efficient method for ellipse detection</dc:title>

    <dc:creator>Qiang Ji</dc:creator>
    <dc:creator>RM Haralick</dc:creator>
    <dc:source>Vol. 2 (October 1999), pp. 730-734.</dc:source>
    <dc:date>2006-11-29T20:27:20-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:volume>2</prism:volume>
    <prism:startingPage>730</prism:startingPage>
    <prism:endingPage>734</prism:endingPage>
    <prism:category>analysis</prism:category>
    <prism:category>detection</prism:category>
    <prism:category>edge</prism:category>
    <prism:category>extraction</prism:category>
    <prism:category>feature</prism:category>
    <prism:category>image</prism:category>
    <prism:category>segmentation</prism:category>
    <prism:category>statistical</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967407">
    <title>Object tracking in video pictures based on image segmentation and pattern matching</title>
    <link>http://www.citeulike.org/user/luk/article/967407</link>
    <description>&lt;i&gt;(May 2005), pp. 3215-3218.&lt;/i&gt;</description>
    <dc:title>Object tracking in video pictures based on image segmentation and pattern matching</dc:title>

    <dc:creator>T Morimoto</dc:creator>
    <dc:creator>O Kiriyama</dc:creator>
    <dc:creator>Y Harada</dc:creator>
    <dc:creator>H Adachi</dc:creator>
    <dc:creator>T Koide</dc:creator>
    <dc:creator>HJ Mattausch</dc:creator>
    <dc:source>(May 2005), pp. 3215-3218.</dc:source>
    <dc:date>2006-11-29T20:27:20-00:00</dc:date>
    <prism:publicationYear>2005</prism:publicationYear>
    <prism:startingPage>3215</prism:startingPage>
    <prism:endingPage>3218</prism:endingPage>
    <prism:category>analysis</prism:category>
    <prism:category>detection</prism:category>
    <prism:category>extraction</prism:category>
    <prism:category>feature</prism:category>
    <prism:category>image</prism:category>
    <prism:category>matching</prism:category>
    <prism:category>motion</prism:category>
    <prism:category>object</prism:category>
    <prism:category>optical</prism:category>
    <prism:category>pattern</prism:category>
    <prism:category>processing</prism:category>
    <prism:category>segmentation</prism:category>
    <prism:category>signal</prism:category>
    <prism:category>tracking</prism:category>
    <prism:category>video</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967406">
    <title>Kernel-based object tracking</title>
    <link>http://www.citeulike.org/user/luk/article/967406</link>
    <description>&lt;i&gt;IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 5. (May 2003), pp. 564-577.&lt;/i&gt;</description>
    <dc:title>Kernel-based object tracking</dc:title>

    <dc:creator>D Comaniciu</dc:creator>
    <dc:creator>V Ramesh</dc:creator>
    <dc:creator>P Meer</dc:creator>
    <dc:source>IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No. 5. (May 2003), pp. 564-577.</dc:source>
    <dc:date>2006-11-29T20:27:19-00:00</dc:date>
    <prism:publicationYear>2003</prism:publicationYear>
    <prism:publicationName>IEEE Transactions on Pattern Analysis and Machine Intelligence</prism:publicationName>
    <prism:volume>25</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>564</prism:startingPage>
    <prism:endingPage>577</prism:endingPage>
    <prism:category>analysis</prism:category>
    <prism:category>computer</prism:category>
    <prism:category>image</prism:category>
    <prism:category>motion</prism:category>
    <prism:category>object</prism:category>
    <prism:category>optimisation</prism:category>
    <prism:category>recognition</prism:category>
    <prism:category>representation</prism:category>
    <prism:category>tracking</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967405">
    <title>Three-dimensional object recognition from single two-dimensional images</title>
    <link>http://www.citeulike.org/user/luk/article/967405</link>
    <description>&lt;i&gt;Artif. Intell., Vol. 31, No. 3. (1987), pp. 355-395.&lt;/i&gt;</description>
    <dc:title>Three-dimensional object recognition from single two-dimensional images</dc:title>

    <dc:creator>David Lowe</dc:creator>
    <dc:source>Artif. Intell., Vol. 31, No. 3. (1987), pp. 355-395.</dc:source>
    <dc:date>2006-11-29T20:27:19-00:00</dc:date>
    <prism:publicationYear>1987</prism:publicationYear>
    <prism:publicationName>Artif. Intell.</prism:publicationName>
    <prism:volume>31</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>355</prism:startingPage>
    <prism:endingPage>395</prism:endingPage>
    <prism:publisher>Elsevier Science Publishers Ltd.</prism:publisher>
    <prism:category>3d</prism:category>
    <prism:category>object-recognition</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967404">
    <title>Markerless Endoscopic Registration and Referencing</title>
    <link>http://www.citeulike.org/user/luk/article/967404</link>
    <description>&lt;i&gt;Vol. 4190 (October 2006), pp. 816-823.&lt;/i&gt;</description>
    <dc:title>Markerless Endoscopic Registration and Referencing</dc:title>

    <dc:creator>Christian Wengert</dc:creator>
    <dc:creator>Philippe Cattin</dc:creator>
    <dc:creator>John Duff</dc:creator>
    <dc:creator>G&#225;bor Sz&#233;kely</dc:creator>
    <dc:source>Vol. 4190 (October 2006), pp. 816-823.</dc:source>
    <dc:date>2006-11-29T20:27:19-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:volume>4190</prism:volume>
    <prism:startingPage>816</prism:startingPage>
    <prism:endingPage>823</prism:endingPage>
    <prism:publisher>Springer</prism:publisher>
    <prism:category>endoscopy</prism:category>
    <prism:category>markerless</prism:category>
    <prism:category>registration</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967403">
    <title>Fully automatic camera and hand to eye calibration</title>
    <link>http://www.citeulike.org/user/luk/article/967403</link>
    <description>&lt;i&gt;(2006)&lt;/i&gt;</description>
    <dc:title>Fully automatic camera and hand to eye calibration</dc:title>

    <dc:creator>Christian Wengert</dc:creator>
    <dc:source>(2006)</dc:source>
    <dc:date>2006-11-29T20:27:19-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:category>camera-calibration</prism:category>
    <prism:category>hand-to-eye</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967402">
    <title>TRIP: A Low-Cost Vision-Based Location System for Ubiquitous Computing</title>
    <link>http://www.citeulike.org/user/luk/article/967402</link>
    <description>&lt;i&gt;Personal Ubiquitous Comput., Vol. 6, No. 3. (2002), pp. 206-219.&lt;/i&gt;</description>
    <dc:title>TRIP: A Low-Cost Vision-Based Location System for Ubiquitous Computing</dc:title>

    <dc:creator>Diego de Ipiña</dc:creator>
    <dc:creator>Paulo Mendonça</dc:creator>
    <dc:creator>Andy Hopper</dc:creator>
    <dc:source>Personal Ubiquitous Comput., Vol. 6, No. 3. (2002), pp. 206-219.</dc:source>
    <dc:date>2006-11-29T20:27:19-00:00</dc:date>
    <prism:publicationYear>2002</prism:publicationYear>
    <prism:publicationName>Personal Ubiquitous Comput.</prism:publicationName>
    <prism:volume>6</prism:volume>
    <prism:number>3</prism:number>
    <prism:startingPage>206</prism:startingPage>
    <prism:endingPage>219</prism:endingPage>
    <prism:publisher>Springer-Verlag</prism:publisher>
    <prism:category>circle</prism:category>
    <prism:category>location-system</prism:category>
    <prism:category>pose-estimation</prism:category>
    <prism:category>vision</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/luk/article/967400">
    <title>Direct Least Squares Fitting of Ellipses</title>
    <link>http://www.citeulike.org/user/luk/article/967400</link>
    <description>&lt;i&gt;IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 5. (May 1999), pp. 476-480.&lt;/i&gt;</description>
    <dc:title>Direct Least Squares Fitting of Ellipses</dc:title>

    <dc:creator>Andrew Fitzgibbon</dc:creator>
    <dc:creator>Maurizio Pilu</dc:creator>
    <dc:creator>Robert Fisher</dc:creator>
    <dc:source>IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 21, No. 5. (May 1999), pp. 476-480.</dc:source>
    <dc:date>2006-11-29T20:27:18-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:publicationName>IEEE Transactions on Pattern Analysis and Machine Intelligence</prism:publicationName>
    <prism:volume>21</prism:volume>
    <prism:number>5</prism:number>
    <prism:startingPage>476</prism:startingPage>
    <prism:endingPage>480</prism:endingPage>
    <prism:publisher>IEEE Computer Society</prism:publisher>
    <prism:category>ellipse</prism:category>
    <prism:category>least-square-fitting</prism:category>
    <prism:category>vision</prism:category>
</item>



</rdf:RDF>

