3D ShapeNets: A deep representation for volumetric shapes

3D shape is a crucial but heavily underutilized cue in today's computer vision systems, mostly due to the lack of a good generic shape representation. With the recent availability of inexpensive 2.5D depth sensors (e.g. Microsoft Kinect), it is becoming increasingly important to have a powerful...

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Vydané v:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 1912 - 1920
Hlavní autori:	Zhirong Wu, Song, Shuran, Khosla, Aditya, Fisher Yu, Linguang Zhang, Xiaoou Tang, Xiao, Jianxiong
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2015
Predmet:	Categories Computational modeling Computer vision Convolution Object recognition Pattern recognition Planning Representations Shape Solid modeling Three dimensional Three dimensional models Three-dimensional displays
ISSN:	1063-6919, 1063-6919
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