标题:Monocular Image Depth Estimation Using a Conditional Generative Adversarial Net
作者:Xiaofeng Zhang;Shuo Chen;Qingyang Xu;Xiaoxue Zhang;
作者机构:[Xiaofeng Zhang;Shuo Chen;Qingyang Xu;Xiaoxue Zhang]School of Mechanical,Electrical and Information Engineering,Shandong University
会议名称:第37届中国控制会议
来源:第37届中国控制会议论文集(F)
出版年:2018
关键词:monocular depth estimation;conditional generative adversarial nets;cycle consistency;deep learning
摘要:Depth estimation plays an essential part in understanding the three-dimensional(3 D) geometric relations of a scene.Compared with other methods such as binocular vision, estimating depth from monocular image is much more challenging.In this paper, we propose a conditional generative adversarial net(...
资源类型:会议论文
原文链接:http://kns.cnki.net/kns/detail/detail.aspx?FileName=KZLL201807006109&DbName;=CPFDTEMP
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