TY  - EJOUR
DO  - 10.1109/TPAMI.2011.196
AB  - Most recent approaches to monocular non-rigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well-textured. The alternative is to rely either on contours or shading information, which has only been demonstrated in very restrictive settings. Here, we propose a novel approach to monocular deformable shape recovery that can operate under complex lighting and handle partially textured surfaces, whether developable or not. At the heart of our algorithm, are a learned mapping from intensity patterns to the shape of local surface patches and a principled approach to piecing together the resulting local shape estimates. We validate our approach quantitatively and qualitatively using both synthetic and real data.
T1  - Monocular 3D Reconstruction of Locally Textured Surfaces
IS  - 6
DA  - 2012
AU  - Varol, Aydin
AU  - Shaji, Appu
AU  - Salzmann, Mathieu
AU  - Fua, Pascal
JF  - IEEE Transactions on Pattern Analysis and Machine Intelligence
SP  - 1118-1130
VL  - 34
EP  - 1118-1130
PB  - Institute of Electrical and Electronics Engineers
ID  - 165831
KW  - 3D Reconstruction
KW  - Shape
KW  - Shading
SN  - 0162-8828
UR  - http://infoscience.epfl.ch/record/165831/files/top_1.pdf
ER  -