Depth-Based Stereoscopic Projection Approach for 3D Saliency Detection

  • Hongyun Lin
  • Chunyu LinEmail author
  • Yao Zhao
  • Jimin Xiao
  • Tammam Tillo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9314)


With the popularity of 3D display and the widespread using of depth camera, 3D saliency detection is feasible and significant. Different with 2D saliency detection, 3D saliency detection increases an additional depth channel so that we need to take the influence of depth and binocular parallax into account. In this paper, a new depth-based stereoscopic projection approach is proposed for 3D visual salient region detection. 3D images reconstructed with color and depth images are respectively projected onto XOZ plane and YOZ plane with the specific direction. We find some obvious characteristics that help us to remove the background and progressive surface where the depth is from the near to the distant so that the salient regions are detected more accurately. Then depth saliency map (DSM) is created, which is combined with 2D saliency map to obtain a final 3D saliency map. Our approach performs well in removing progressive surface and background which are difficult to be detected in 2D saliency detection.


3D saliency detection Depth-based stereoscopic projection Salient region 



This work was supported by National Natural Science Foundation of China (no.61402034, no.61210006 and no.61202240, no. 61272051), supported by Beijing Natural Science Foundation (4154082) and SRFDP (20130009120038), supported by the Fundamental Research Funds for the Central Universities (2015JBM032).


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Hongyun Lin
    • 1
  • Chunyu Lin
    • 1
    Email author
  • Yao Zhao
    • 1
  • Jimin Xiao
    • 2
  • Tammam Tillo
    • 2
  1. 1.Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and NetworkBeijing Jiaotong UniversityBeijingChina
  2. 2.Department of Electrical and Electronic EngineeringXian Jiaotong-Liverpool UniversitySuzhouChina

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