Completing 3D Object Shape from One Depth Image

被引:0
作者
Rock, Jason [1 ]
Gupta, Tanmay [1 ]
Thorsen, Justin [1 ]
Gwak, JunYoung [1 ]
Shin, Daeyun [1 ]
Hoiem, Derek [1 ]
机构
[1] Univ Illinois, Champaign, IL 61801 USA
来源
2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) | 2015年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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).
引用
收藏
页码:2484 / 2493
页数:10
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