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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Vydané v:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 1903 - 1911
Hlavní autori:	Yu Xiang, Wongun Choi, Yuanqing Lin, Savarese, Silvio
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2015
Predmet:	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
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