TY - CHAP
T1 - Articulation-Invariant Representation of Non-planar Shapes
T2 - Computer Vision – ECCV 2010Computer Vision – ECCV 2010
Y1 - 2010
A1 - Gopalan,Raghuraman
A1 - Turaga,Pavan
A1 - Chellapa, Rama
ED - Daniilidis,Kostas
ED - Maragos,Petros
ED - Paragios,Nikos
AB - Given a set of points corresponding to a 2D projection of a non-planar shape, we would like to obtain a representation invariant to articulations (under no self-occlusions). It is a challenging problem since we need to account for the changes in 2D shape due to 3D articulations, viewpoint variations, as well as the varying effects of imaging process on different regions of the shape due to its non-planarity. By modeling an articulating shape as a combination of approximate convex parts connected by non-convex junctions, we propose to preserve distances between a pair of points by (i) estimating the parts of the shape through approximate convex decomposition, by introducing a robust measure of convexity and (ii) performing part-wise affine normalization by assuming a weak perspective camera model, and then relating the points using the inner distance which is insensitive to planar articulations. We demonstrate the effectiveness of our representation on a dataset with non-planar articulations, and on standard shape retrieval datasets like MPEG-7.
JA - Computer Vision – ECCV 2010Computer Vision – ECCV 2010
T3 - Lecture Notes in Computer Science
PB - Springer Berlin / Heidelberg
VL - 6313
SN - 978-3-642-15557-4
UR - http://dx.doi.org/10.1007/978-3-642-15558-1_21
ER -