@inproceedings{7564eb06cbab41a5b4edebf367ac5353,
title = "Matching Cost Fusion in Dense Depth Recovery for Camera-Array via Global Optimization",
abstract = "This paper proposes a novel method of fusing different matching cost for dense depth map recovery in a global optimization framework. Two simple classical cost functions, NCC and SAD, are combined to make a complementary costs fusion, which is robust against noises and weak radiometric difference. We address complicated difficulties as texture-less region and occlusion in a multi-view energy based global optimization, which is efficiently solved via graph cuts algorithm. We evaluate our cost fusion and optimization algorithm on camera-array captured scenes. The experimental results demonstrate that, our cost fusion get better result than single cost function, and our multi-view optimization gains greatly than stereo method, that means our algorithm is appropriate for camera-array against complex difficulties.",
keywords = "Camera-array, Dense depth, Graph cuts, Matching cost fusion",
author = "Lipeng Si and Qing Wang and Zhaolin Xiao",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; International Conference on Virtual Reality and Visualization, ICVRV 2014 ; Conference date: 30-08-2014 Through 31-08-2014",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/ICVRV.2014.67",
language = "英语",
series = "Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "180--185",
editor = "Xukun Shen and Xiaopeng Zhang and Zhong Zhou and Guodong Zhang and Xun Luo",
booktitle = "Proceedings - 2014 International Conference on Virtual Reality and Visualization, ICVRV 2014",
}