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SALIENT OBJECT DETE...
SALIENT OBJECT DETECTION USING NORMALIZED CUT AND GEODESICS
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- Fu, Keren, 1988 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Gong, Chen (författare)
- Shanghai Jiao Tong University
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- Gu, Irene Yu-Hua, 1953 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Yang, Jie (författare)
- Shanghai Jiao Tong University
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- Shi, Pengfei (författare)
- Shanghai Jiao Tong University
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(creator_code:org_t)
- ISBN 9781479983391
- 2015
- 2015
- Engelska.
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Ingår i: Proceedings - International Conference on Image Processing, ICIP. - 1522-4880. - 9781479983391 ; 2015-December, s. 1100-1104
- Relaterad länk:
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http://dx.doi.org/10...
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https://doi.org/10.1...
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https://research.cha...
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Abstract
Ämnesord
Stäng
- Normalized graph cut (Ncut) is conventionally used for partitioning a graph based on energy minimization, and is lately used for salient object detection. Observing that Ncut generates eigenvectors containing cluster information, we propose to incorporate eigenvectors of Ncut with the geodesic saliency detection model for obtaining enhanced salient object detection. In addition, appearance cue and intervening contour cue are jointly exploited for computing the graph affinity. The proposed method has been tested and evaluated on four benchmark datasets, and compared with 12 existing methods. Our results have provided strong support to the robustness of the proposed method.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- geodesic saliency
- Salient object detection
- saliency map
- normalized cut
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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