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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Bibliographic Details

Published in:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 1903 - 1911
Main Authors:	Yu Xiang, Wongun Choi, Yuanqing Lin, Savarese, Silvio
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.06.2015
Subjects:	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 Access:	Get full text
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