A Multi-View Nonlinear Active Shape Model Using Kernel PCA
Sami Romdhani, Shaogang Gong, Αλεξάνδρα Ψαρρού · 1999
Recovering the shape of any 3D object using multiple 2D views requires establishing correspondence between feature points at different views. How-ever changes in viewpoint introduce self-occlusions, resulting nonlinear vari-ations in the shape and inconsistent 2D features between views. Here we introduce a multi-view nonlinear shape model utilising 2D view-dependent constraint without explicit reference to 3D structures. For nonlinear model transformation, we adopt Kernel PCA based on Support Vector Machines. 1