The design and implementation of postprocessing for depth map on real-time extraction system.

Depth estimation becomes the key technology to resolve the communications of the stereo vision. We can get the real-time depth map based on hardware, which cannot implement complicated algorithm as software, because there are some restrictions in the hardware structure. Eventually, some wrong stereo...

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Publicado en:Scientific World Journal pp. 363287 - 363288
Autores principales: Tang, Zhiwei, Li, Bin, Li, Huosheng, Xu, Zheng
Formato: research Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The design and implementation of postprocessing for depth map on real-time extraction system.
      aug:
        au:
          Tang, Zhiwei
          Li, Bin
          Li, Huosheng
          Xu, Zheng
        affil: Shanghai University, Shanghai 200072, China ; The Third Research Institute of Ministry of Public Security, Shanghai 201204, China.
      sug:
        subj:
          Algorithms
          Computer Systems
      ab: Depth estimation becomes the key technology to resolve the communications of the stereo vision. We can get the real-time depth map based on hardware, which cannot implement complicated algorithm as software, because there are some restrictions in the hardware structure. Eventually, some wrong stereo matching will inevitably exist in the process of depth estimation by hardware, such as FPGA. In order to solve the problem a postprocessing function is designed in this paper. After matching cost unique test, the both left-right and right-left consistency check solutions are implemented, respectively; then, the cavities in depth maps can be filled by right depth values on the basis of right-left consistency check solution. The results in the experiments have shown that the depth map extraction and postprocessing function can be implemented in real time in the same system; what is more, the quality of the depth maps is satisfactory.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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