Thu, 21 Aug 2008 14:15:55 BST CiteULike: universe_mb's scaling http://www.citeulike.org/user/universe_mb/tag/scaling CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/universe_mb/article/2250417 <i>Image and Vision Computing, Vol. 19, No. 11. (1 September 2001), pp. 787-792.</i><br /><br />We describe a visual positioning system for use by a spacecraft to choose a landing site, while orbiting an asteroid. The spacecraft pose is refined using landmarks, such as craters, observed by a visual sensor. The craters, which have an elliptical shape, are detected using a multi-scale method based on voting, and tensors as a representation. We propose a new robust method to infer curvature estimation from noisy sparse data. This method is applied on edge images in order to obtain the oriented normals of the edge curves. Using this information, a dense saliency map corresponding to the position and shape of the craters is computed. The detected craters in the image are matched with the craters projected from a 3D model, and the best transformation between these two sets is obtained. This system has been tested with both real images of Phobos and a synthetic model. Crater detection for autonomous landing on asteroids B Leroy G Medioni E Johnson L Matthies doi:10.1016/S0262-8856(00)00111-6 Image and Vision Computing, Vol. 19, No. 11. (1 September 2001), pp. 787-792. 2008-01-18T10:08:31-00:00 2001 Image and Vision Computing 19 11 787 792 autonomous landing scaling scene http://www.citeulike.org/user/universe_mb/article/2250143 <i>International Journal of Computer Vision, Vol. 3, No. 3. (1989), pp. 209-238.</i><br /><br />Using known camera motion to estimate depth from image sequences is an important problem in robot vision. Many applications of depth-from-motion, including navigation and manipulation, require algorithms that can estimate depth in an on-line, incremental fashion. This requires a representation that records the uncertainty in depth estimates and a mechanism that integrates new measurements with existing depth estimates to reduce the uncertainty over time. Kalman filtering provides this... Kalman Filter-based Algorithms for Estimating Depth from Image Sequences Larry Matthies Takeo Kanade Richard Szeliski International Journal of Computer Vision, Vol. 3, No. 3. (1989), pp. 209-238. 2008-01-18T08:52:39-00:00 1989 International Journal of Computer Vision 3 3 209 238 filter kalman monocular scaling scene vision