Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Articulated Structure from Motion by Factorization
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Automatic Kinematic Chain Building from Feature Trajectories of Articulated Objects
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Surface Deformation Models for Nonrigid 3D Shape Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Capturing and animating occluded cloth
ACM SIGGRAPH 2007 papers
Learning Articulated Structure and Motion
International Journal of Computer Vision
Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11)
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Application of heterogenous motion models towards structure recovery from motion
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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Estimation of non-rigid structure from motion (NRSFM) has often been performed as a linear combination of basis shapes. However, when dealing with scenes containing human articulated motion (especially in presence of clothing), the number of basis shapes precludes accurate results. We model deformation as a combination of articulated and non-rigid surface deformation. We propose a novel algorithm for segmenting motion to find articulated components and a hierarchical NRSFM algorithm which estimates articulated and non-rigid structure separately. Our method attempts to remove the articulated motion from the observation matrix leaving behind only the non-rigid component which can be represented with fewer bases. Results show that our method successfully segments motion in a variety of cases and structure reconstruction is improved using the hierarchical framework.