标题:KINECT DEPTH RESTORATION VIA ENERGY MINIMIZATION WITH TV21 REGULARIZATION
作者:Liu, Shaoguo; Wang, Ying; Wang, Jue; Wang, Haibo; Zhang, Jixia; Pan, Chunhong
通讯作者:Liu, SG
作者机构:[Liu, Shaoguo; Wang, Ying; Zhang, Jixia; Pan, Chunhong] Chinese Acad Sci, NLPR, Inst Automat, Beijing 100864, Peoples R China.; [Wang, Jue] Adobe Re 更多
会议名称:20th IEEE International Conference on Image Processing (ICIP)
会议日期:SEP 15-18, 2013
来源:2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)
出版年:2013
页码:724-727
关键词:Depth Inpainting; Depth Denoising; Energy Minimization; TV21 Prior
摘要:Depth maps generated by Kinect cameras often contain a significant amount of missing pixels and strong noise, limiting their usability in many computer vision applications. We present a new energy minimization method to fill the missing regions and remove noise in a depth map, by exploiting the strong correlation between color and depth values in local image neighborhoods. To preserve sharp edges and remove noise from the depth map, we propose to add a TV21 regularization term into the energy function. Finally, we show how to effectively minimize the total energy using an alternating optimization approach. Experimental results show that the proposed method outperforms commonly-used depth inpainting approaches.
收录类别:CPCI-S
WOS核心被引频次:10
资源类型:会议论文
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