Monocular 3D Reconstruction of Locally Textured Surfaces

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.


Published in:
IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 6, 1118 - 1130
Year:
2012
Publisher:
Institute of Electrical and Electronics Engineers
ISSN:
0162-8828
Keywords:
Laboratories:




 Record created 2011-05-17, last modified 2018-03-17

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