Depth-based stereoscopic projection approach for 3D saliency detection

Hongyun Lin, Chunyu Lin*, Yao Zhao, Jimin Xiao, Tammam Tillo

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)664-673
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2015
Event16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
Duration: 16 Sept 201518 Sept 2015


  • 3D saliency detection
  • Depth-based stereoscopic projection
  • Salient region


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