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» Robust Registration of 2D and 3D Point Sets
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MICCAI
2007
Springer
15 years 10 months ago
Shape Analysis Using a Point-Based Statistical Shape Model Built on Correspondence Probabilities
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...
Heike Hufnagel, Xavier Pennec, Jan Ehrhardt, Heinz...
ECCV
2002
Springer
15 years 11 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
PAMI
2007
187views more  PAMI 2007»
14 years 9 months ago
Detecting Motion Regions in the Presence of a Strong Parallax from a Moving Camera by Multiview Geometric Constraints
—We present a method for detecting motion regions in video sequences observed by a moving camera in the presence of a strong parallax due to static 3D structures. The proposed me...
Chang Yuan, Gérard G. Medioni, Jinman Kang,...
IJCV
2008
173views more  IJCV 2008»
14 years 9 months ago
Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation
We present a real-time method for detecting deformable surfaces, with no need whatsoever for a priori pose knowledge. Our method starts from a set of wide baseline point matches be...
Julien Pilet, Vincent Lepetit, Pascal Fua
CVPR
2011
IEEE
14 years 5 months ago
Semantic structure from motion
Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed ...
Sid Ying-Ze Bao, Silvio Savarese