Scene shape priors for superpixel segmentation

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 771-778

  Moore, Alastair P ^a   Prince, Simon J D ^a   Warrell, Jonathan ^a   Mohammed, Umar ^a   Jones, Graham ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b SHARP LABORATORIES OF EUROPE LTD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; DATA SETS; EVALUATION METRICS; FEATURE VECTORS; IMAGE PARSING; LOCAL OBJECT; OBJECT BOUNDARIES; OVER SEGMENTATION; PRE-PROCESSING STEP; PROBABILISTIC MODELS; REAL-WORLD; SHAPE PRIORS; SPATIAL DENSITIES; SPATIAL DISTRIBUTION; SUPERPIXELS;

ALGORITHMS; COMPUTER VISION; EDGE DETECTION;

IMAGE SEGMENTATION;

EID: 77953204528     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459246     Document Type: Conference Paper

References (21)

1. D. Bartholomew and M. Knott. Latent variable models and Factor analysis. London, 1999.
2. G. Brostow, J. Fauqueur, and R. Cipolla. Semantic obje classes in video: A high-definition ground truth databse. Pattern Recognition Letters, 2007.
3. G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla. Segmentation and recognition using structure from motion point clouds. pages 44-57, 2008.
4. P. Dollr, Z. Tu, and S. Belongie. Supervised learning of edges and object boundaries. CVPR, 2:1964-1971, 2006.
5. M. Everingham, L. V. Gool, C. Williams, J. Winn, and A. Zisserman. The pascal visual object classes challenge workshop. In ECCV, 2008.
6. P. Felzenszwalb and D. Huttenlocher. Efficient Graph-Based Image Segmentation. IJCV, 2(59):167-181, 2004.
7. X. He, R. S. Zemel, and D. Ray. Learning and incorporating top-down cues in image segmentation. ECCV, 1:338-351, 2006.
8. D. Hoiem, A. Efros, and M. Hebert. Automatic photo pop-up. ACM SIGGRAPH, 2005.
9. D. Hoiem, A. Efros, and M. Hebert. Putting objects in perspective. CVPR, 2006.
10. D. Hoiem, A. Efros, and M. Hebert. Closing the loop on scene interpretation. CVPR, 2008.
11. D. Hoiem, A. N. Stein, A. A. Efros, and M. Hebert. Recovering occlusion boundaries from a single image. ICCV, 1:1-8, 2007.
12. P. Kohli, L. Ladicky, and P. Torr. Robust higher order potentials for enforcing label consistency. CVPR, 2008.
13. L. Li and L. Fei-Fei. What, where and who? classifying event by scene and object recognition . ICCV, 2007.
14. A. P. Moore, S. J. D. Prince, J. Warrell, U. Mohammed, and G. Jones. Superpixel lattices. CVPR, 2007.
15. G. Mori. Guiding model search using segmentation. ICCV, 2:1417-1423, 2005.
16. A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. IJCV, 42(3):145-175, 2001.
17. C. V. Rijsbergen. Information Retrieval. Department of Computer Science, University of Glasgow, 1979.
18. B. C. Russell, A. A. Efros, J. Sivic, W. T. Freeman, and A. Zisserman. Using multiple segmentations to discover objects and their extent in image collections. CVPR, pages 1605-1614, 2006.
19. J. Shi and J. Malik. Normalized cuts and image segmentation. PRMI, 22(8):888-905, 2000.
20. A. Torralba. Contextual priming for object detection. IJCV, 53(2):169-191, 2003.
21. Z. Tu, X. Chen, A. Yuille, and S.-C. Zhu. Image parsing: Unifying segementation, detection and recognition. IJCV, 2(63):113-140, 2005. (Pubitemid 40536818)