Completing 3D Object Shape From One Depth Image

Jason Rock, Tanmay Gupta, Justin Thorsen, JunYoung Gwak, Daeyun Shin, Derek Hoiem; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 2484-2493

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).

Related Material


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[bibtex]
@InProceedings{Rock_2015_CVPR,
author = {Rock, Jason and Gupta, Tanmay and Thorsen, Justin and Gwak, JunYoung and Shin, Daeyun and Hoiem, Derek},
title = {Completing 3D Object Shape From One Depth Image},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2015}
}