A Coupled Statistical Model for Face Shape Recovery From Brightness Images Export

@article{citeulike:1512858, abstract = {We focus on the problem of developing a coupled statistical model that can be used to recover facial shape from brightness images of faces. We study three alternative representations for facial shape. These are the surface height function, the surface gradient, and a Fourier basis representation. We jointly capture variations in intensity and the surface shape representations using a coupled statistical model. The model is constructed by performing principal components analysis on sets of parameters describing the contents of the intensity images and the facial shape representations. By fitting the coupled model to intensity data, facial shape is implicitly recovered from the shape parameters. Experiments show that the coupled model is able to generate accurate shape from out-of-training-sample intensity images}, author = {Castelan, M. and Smith, W. A. P. and Hancock, E. R.}, citeulike-article-id = {1512858}, citeulike-linkout-0 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4130415}, journal = {Image Processing, IEEE Transactions on}, keywords = {analysis, face, models, sfs, shape-from-shading, statistical}, number = {4}, pages = {1139--1151}, posted-at = {2007-08-06 13:05:48}, priority = {0}, title = {A Coupled Statistical Model for Face Shape Recovery From Brightness Images}, url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4130415}, volume = {16}, year = {2007} }

TY - JOUR ID - citeulike:1512858 L3 - citeulike-article-id:1512858 N2 - We focus on the problem of developing a coupled statistical model that can be used to recover facial shape from brightness images of faces. We study three alternative representations for facial shape. These are the surface height function, the surface gradient, and a Fourier basis representation. We jointly capture variations in intensity and the surface shape representations using a coupled statistical model. The model is constructed by performing principal components analysis on sets of parameters describing the contents of the intensity images and the facial shape representations. By fitting the coupled model to intensity data, facial shape is implicitly recovered from the shape parameters. Experiments show that the coupled model is able to generate accurate shape from out-of-training-sample intensity images IS - 4 JF - Image Processing, IEEE Transactions on EP - 1151 TI - A Coupled Statistical Model for Face Shape Recovery From Brightness Images VL - 16 SP - 1139 KW - analysis KW - face KW - models KW - sfs KW - shape-from-shading KW - statistical AU - Castelan, M AU - Smith, WAP AU - Hancock, ER PY - 2007/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4130415 ER -