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	Exploiting Object Similarity in 3D Reconstruction
	Zhou, Chen ; Gueney, Fatma ; Wang, Yizhou ; Geiger, Andreas
	2015
关键词	RECOGNITION LEVEL
英文摘要	Despite recent progress, reconstructing outdoor scenes in 3D from movable platforms remains a highly difficult endeavour. Challenges include low frame rates, occlusions, large distortions and difficult lighting conditions. In this paper, we leverage the fact that the larger the reconstructed area, the more likely objects of similar type and shape will occur in the scene. This is particularly true for outdoor scenes where buildings and vehicles often suffer from missing texture or reflections, but share similarity in 3D shape. We take advantage of this shape similarity by localizing objects using detectors and jointly reconstructing them while learning a volumetric model of their shape. This allows us to reduce noise while completing missing surfaces as objects of similar shape benefit from all observations for the respective category. We evaluate our approach with respect to LIDAR ground truth on a novel challenging suburban dataset and show its advantages over the state-of-the-art.; EI; CPCI-S(ISTP); zhouch@pku.edu.cn; fatma.guney@tue.mpg.de; yizhou.wang@pku.edu; andreas.geiger@tue.mpg.de; 2201-2209; 11-18-December-2015
语种	英语
出处	IEEE International Conference on Computer Vision
DOI标识	10.1109/ICCV.2015.254
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/436293]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhou, Chen,Gueney, Fatma,Wang, Yizhou,et al. Exploiting Object Similarity in 3D Reconstruction. 2015-01-01.

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