Document Detail

Monocular 3D Reconstruction of Locally Textured Surfaces.
MedLine Citation:
PMID:  22516648     Owner:  NLM     Status:  In-Data-Review    
Most recent approaches to monocular nonrigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well textured. The alternative is to rely on either 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. 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.
Aydin Varol; Appu Shaji; Mathieu Salzmann; Pascal Fua
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  IEEE transactions on pattern analysis and machine intelligence     Volume:  34     ISSN:  1939-3539     ISO Abbreviation:  IEEE Trans Pattern Anal Mach Intell     Publication Date:  2012 Jun 
Date Detail:
Created Date:  2012-04-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9885960     Medline TA:  IEEE Trans Pattern Anal Mach Intell     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1118-30     Citation Subset:  IM    
EPFL, Lausanne.
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