Data-driven 3D Voxel Patterns for object category recognition

Despite the great progress achieved in recognizing objects as 2D bounding boxes in images, it is still very challenging to detect occluded objects and estimate the 3D properties of multiple objects from a single image. In this paper, we propose a novel object representation, 3D Voxel Pattern (3DVP),...

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Veröffentlicht in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 1903 - 1911
Hauptverfasser:	Yu Xiang, Wongun Choi, Yuanqing Lin, Savarese, Silvio
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2015
Schlagworte:	Benchmark testing Computer vision Detectors Image detection Image segmentation Object detection Object recognition Occlusion Pattern recognition Three dimensional Two dimensional
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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