Fast wide baseline matching for visual navigation Export

@inproceedings{citeulike:1729500, abstract = {A new and fast way to find local image correspondences for wide baseline image matching is described. The targeted application is visual navigation, e.g. of a semi-automatic wheelchair. Such applications pose some additional requirements, like the need to work with natural landmarks rather than artificial markers, and the need to recognize locations fast. The restricted motion of the camera can be exploited to simplify the feature extraction. These features should support their identification from different, but nevertheless restricted viewing directions, and under variable illumination conditions. The paper proposes a specialization of so-called affine invariant regions for these particular conditions, which in this case simplifies to column segments. Their applicability is wider than robot navigation, and includes localization for wearable computing and scene recognition for automatic movie indexing.}, author = {Goedeme, T. and Tuytelaars, T. and Van Gool, L.}, booktitle = {Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on}, citeulike-article-id = {1729500}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1315009}, journal = {Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on}, keywords = {image, matching, navigation, processing, wheelchair}, pages = {I-24--I-29 Vol.1}, posted-at = {2007-10-05 05:00:49}, priority = {0}, title = {Fast wide baseline matching for visual navigation}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1315009}, volume = {1}, year = {2004} }

TY - CONF ID - citeulike:1729500 L3 - citeulike-article-id:1729500 N2 - A new and fast way to find local image correspondences for wide baseline image matching is described. The targeted application is visual navigation, e.g. of a semi-automatic wheelchair. Such applications pose some additional requirements, like the need to work with natural landmarks rather than artificial markers, and the need to recognize locations fast. The restricted motion of the camera can be exploited to simplify the feature extraction. These features should support their identification from different, but nevertheless restricted viewing directions, and under variable illumination conditions. The paper proposes a specialization of so-called affine invariant regions for these particular conditions, which in this case simplifies to column segments. Their applicability is wider than robot navigation, and includes localization for wearable computing and scene recognition for automatic movie indexing. JF - Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on EP - I-29 Vol.1 TI - Fast wide baseline matching for visual navigation VL - 1 T2 - Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on SP - I-24 KW - image KW - matching KW - navigation KW - processing KW - wheelchair AU - Goedeme, T AU - Tuytelaars, T AU - Van Gool, L PY - 2004/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1315009 ER -