Fast robust detection of edges in noisy depth images
作者: Wei LiuXiaogang ChenQiang WuJie Yang
作者单位: 1Shanghai Jiao Tong University
2Key Laboratory of System Control and Information Processing
3University of Shanghai for Science and Technology
4University of Technology Sydney
刊名: Journal of Electronic Imaging, 2016, Vol.25 (5), pp.053003-053003
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1117/1.JEI.25.5.053003
关键词: robust edge detectiondepth imagedepth upsampling
原始语种摘要: Depth edges play an important role in depth image upsampling. Many recent upsampling methods rely on the prior images of depth edges to preserve sharp depth edges in restored depth images. However, recent depth edge detection methods are not robust against the noise in depth images. Some methods are also too time-consuming. We propose a method to efficiently detect edges in depth images. The proposed method is very simple but very robust against the noise in depth images. It is also fast and has near O ( 1 ) implementation. We apply the proposed method to the existing edge guided depth image upsampling. Experimental results on both simulated and real data show the effectiveness of the proposed method.
全文获取路径: SPIE  (合作)
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关键词翻译
关键词翻译
  • robust 牢固的
  • depth 
  • noisy 有噪声
  • consuming 耗的
  • preserve 保存
  • existing 现行
  • image 
  • effectiveness 有效性
  • proposed 建议的
  • detection 探测