Hangke Song
ABSTRACT
Additional depth information from RGBD images is one of characteristics different from conventional 2D images. In this paper, we propose an effective saliency model to detect salient regions in RGBD images. Color contrast and depth contrast are first enhanced with the weighting of depth-based object probability. Then the region merging based saliency refinement is exploited to obtain the color saliency map and depth saliency map, respectively. Finally, a location prior of salient objects is integrated with color saliency and depth saliency to obtain the regional saliency map. Both subjective and objective evaluations on a public RGBD image dataset demonstrate that the proposed saliency model outperforms the state-of-the-art saliency models.
- L. Itti, C. Koch, and E. Niebur. A model of saliency-based visual attention for rapid scene analysis. IEEE TPAMI, 20(11): 1254--1259, 1998. Google Scholar
Digital Library
- Z. Liu, R. Shi, L. Shen, Y. Xue, K. N. Ngan, and Z. Zhang. Unsupervised salient object segmentation based on kernel density estimation and two-phase graph cut. IEEE TMM, 14(4):1275--1289, 2012. Google ScholarDigital Library
- M. M. Cheng, N. J. Mitra, X. Huang, P. Torr and S. M. Hu. Global contrast based salient region detection. IEEE TPAMI, 37(3):569--582, 2015.Google ScholarDigital Library
- W. Zhu, S. Liang, Y. Wei and J. Sun. Saliency optimization from robust background detection. In CVPR, pages 2814--2821. IEEE, 2014. Google ScholarDigital Library
- Z. Liu, W. Zou, and O. Le Meur. Saliency tree: A novel saliency detection framework. IEEE TIP, 23(5):1937--1952, 2014.Google Scholar
- H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng, and S. Li. Salient object detection: A discriminative regional feature integration approach. In CVPR, pages 2083--2090. IEEE, 2013. Google ScholarDigital Library
- Y. Zhang, G. Jiang, M. Yu, and K. Chen. Stereoscopic visual attention model for 3D video. In MMM, pages 314--324. Springer, 2010. Google ScholarDigital Library
- H. Peng, B. Li, W. Xiong, W. Hu and R. Ji. RGBD salient object detection: a benchmark and algorithms. In ECCV, pages 92--109. Springer, 2014.Google ScholarCross Ref
- K. Desingh, K. M. Krishna, D. Rajan, and C. V. Jawahar. Depth really matters: Improving visual salient region detection with depth. In BMVC, article 98. BMVA, 2013.Google Scholar
- Y. Niu, Y. Geng, X. Li, and F. Liu. Leveraging stereopsis for saliency analysis. In CVPR, pages 454--461. IEEE, 2012. Google ScholarDigital Library
- R. Ju, L. Ge, W. Geng, T. Ren and G. Wu. Depth saliency based on anisotropic center-surround difference. In ICIP, pages 1115--1119. IEEE, 2014.Google ScholarCross Ref
- X. Fan, Z. Liu and G. Sun. Salient region detection for stereoscopic images. In DSP, pages 454--458. IEEE, 2014.Google ScholarCross Ref
- A. Ciptadi, T. Hermans, and J. M. Rehg, An in depth view of saliency. In BMVC, article 112. BMVA, 2013.Google Scholar
- P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik. Contour detection and hierarchical image segmentation. IEEE TPAMI, 33(5):898--916, 2011. Google ScholarDigital Library
- N. Otsu. A threshold selection method from gray-level histograms. IEEE TSMC, 9(1):62--66, 1979.Google Scholar
Index Terms
- Saliency detection for RGBD images
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