Probabilistic depth map fusion for real-time multi-view stereo

Duan Yong*, Pei Mingtao, Jia Yunde

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

In this paper we propose a probabilistic method for fusing depth maps in real time for wide-baseline situation. We treat the depth map fusion as a problem of probability density function (pdf) estimation. The original point cloud, instead of the reprojected depth map, is used to estimate the pdf, and a mathematical expectation computation method is proposed to reduce the complexity of the method. Experimental results show that the proposed method can get the fused depth map in real time, and is very promising for fusing depth maps from multiple depth cameras with sparsely distributed viewpoints.

源语言英语
主期刊名ICPR 2012 - 21st International Conference on Pattern Recognition
368-371
页数4
出版状态已出版 - 2012
活动21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, 日本
期限: 11 11月 201215 11月 2012

出版系列

姓名Proceedings - International Conference on Pattern Recognition
ISSN(印刷版)1051-4651

会议

会议21st International Conference on Pattern Recognition, ICPR 2012
国家/地区日本
Tsukuba
时期11/11/1215/11/12

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