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Shortest Path Based Planar Graph Cuts for Bi-layer Segmentation of Binocular Stereo Video

  • Xiangsheng Huang
  • Lujin Gong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6469)

Abstract

Separating a foreground layer from stereo video in real-time is used in many applications such as live background substitution. Conventional separating models using stereo, contrast or color alone are usually not accurate enough to be satisfactory. Furthermore, the powerful tool of graph cut which is well suited for segmentation is known to be not efficient enough especially for high resolution images. In this paper, we conquer these difficulties by fusing stereo with color and contrast to model the segmentation problem as an minimum cut problem of a planar graph and solving it by a specialized algorithm, parametric shortest paths [8] with a dynamic tree structure, in O(nlogn) time. Experimental results demonstrate the high accuracy and efficiency of the algorithm.

Keywords

Short Path Planar Graph High Resolution Image Dual Graph Segmentation Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xiangsheng Huang
    • 1
  • Lujin Gong
    • 2
  1. 1.Institute of AutomationChinese Academy of SciencesBeijingChina
  2. 2.State Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering ComputingAMSS, CASBeijingChina

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