DocumentCode :
3672322
Title :
Completing 3D object shape from one depth image
Author :
Jason Rock;Tanmay Gupta;Justin Thorsen;JunYoung Gwak;Daeyun Shin;Derek Hoiem
Author_Institution :
University of Illinois at Urbana-Champaign, USA
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
2484
Lastpage :
2493
Abstract :
Our goal is to recover a complete 3D model from a depth image of an object. Existing approaches rely on user interaction or apply to a limited class of objects, such as chairs. We aim to fully automatically reconstruct a 3D model from any category. We take an exemplar-based approach: retrieve similar objects in a database of 3D models using view-based matching and transfer the symmetries and surfaces from retrieved models. We investigate completion of 3D models in three cases: novel view (model in database); novel model (models for other objects of the same category in database); and novel category (no models from the category in database).
Keywords :
"Three-dimensional displays","Shape","Solid modeling","Image reconstruction","Deformable models","Training","Approximation methods"
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2015.7298863
Filename :
7298863
Link To Document :
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