3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints Export

@inproceedings{Rothganger:2003:MultiView3D, abstract = {This paper presents a representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associated with groups of patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true three-dimensional affine and Euclidean models from multiple images and their recognition in a single photograph taken from an arbitrary viewpoint. The proposed approach does not require a separate segmentation stage and is applicable to cluttered scenes. Preliminary modeling and recognition results are presented.}, author = {Rothganger, F. and Lazebnik, S. and Schmid, C. and Ponce, J.}, citeulike-article-id = {740674}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1211480}, journal = {Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on}, keywords = {3d, affine, invariant, modelling, recognition, thesis, tracking}, pages = {II--272-7 vol.2}, posted-at = {2007-11-16 21:40:51}, priority = {2}, title = {3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1211480}, volume = {2}, year = {2003} }

TY - CONF ID - Rothganger:2003:MultiView3D L3 - citeulike-article-id:740674 N2 - This paper presents a representation for three-dimensional objects in terms of affine-invariant image patches and their spatial relationships. Multi-view constraints associated with groups of patches are combined with a normalized representation of their appearance to guide matching and reconstruction, allowing the acquisition of true three-dimensional affine and Euclidean models from multiple images and their recognition in a single photograph taken from an arbitrary viewpoint. The proposed approach does not require a separate segmentation stage and is applicable to cluttered scenes. Preliminary modeling and recognition results are presented. JF - Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on EP - 272-7 vol.2 TI - 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints VL - 2 SP - II KW - 3d KW - affine KW - invariant KW - modelling KW - recognition KW - thesis KW - tracking AU - Rothganger, F AU - Lazebnik, S AU - Schmid, C AU - Ponce, J PY - 2003/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1211480 ER -