Leveraging stereopsis for saliency analysis

@article{Niu2012LeveragingSF,
  title={Leveraging stereopsis for saliency analysis},
  author={Yuzhen Niu and Yujie Geng and Xueqing Li and Feng Liu},
  journal={2012 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2012},
  pages={454-461}
}
Stereopsis provides an additional depth cue and plays an important role in the human vision system. This paper explores stereopsis for saliency analysis and presents two approaches to stereo saliency detection from stereoscopic images. The first approach computes stereo saliency based on the global disparity contrast in the input image. The second approach leverages domain knowledge in stereoscopic photography. A good stereoscopic image takes care of its disparity distribution to avoid 3D… CONTINUE READING
Highly Influential
This paper has highly influenced 14 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 173 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 95 extracted citations

Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection

IEEE Transactions on Visualization and Computer Graphics • 2017
View 6 Excerpts
Highly Influenced

Stereoscopic visual saliency prediction based on stereo contrast and stereo focus

EURASIP J. Image and Video Processing • 2017
View 6 Excerpts
Highly Influenced

A Novel Saliency Model for Stereoscopic Images

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA) • 2015
View 4 Excerpts
Highly Influenced

A weighted sparse coding framework for saliency detection

2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) • 2015
View 8 Excerpts
Highly Influenced

Relative location for light field saliency detection

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2016
View 5 Excerpts
Highly Influenced

Saliency analysis based on depth contrast increased

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2016
View 6 Excerpts
Highly Influenced

Exploiting global priors for RGB-D saliency detection

2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) • 2015
View 4 Excerpts
Highly Influenced

173 Citations

02040'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 173 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 44 references

Similar Papers

Loading similar papers…