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Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20141/6 Dense semantic image segmentation with objects.

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Presentation on theme: "Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20141/6 Dense semantic image segmentation with objects."— Presentation transcript:

1 Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20141/6 Dense semantic image segmentation with objects and attributes Shuai Zheng, Ming-Ming Cheng, Jonathan Warrell, Paul Sturgess, Vibhav Vineet, Carsten Rother*, Philip H. S. Torr Torr Vision Group, University of Oxford *The Technische Universität Dresden

2 Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20142/6 Traditional Goal Object class segmentation Assigning an object class label to each pixel Wall Cabinet Box ceiling Floor Chair

3 Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20143/6 Our Goal Segmentation with Objects and Attributes Assigning an object class and a set of attribute labels to each pixel Wall: Wood, Painted, textured Cabinet: Glossy, shiny, Cube, plastic Box:cube ceiling: painted, textured Floor : pavement, textured, dry, flat Chair: Wood

4 Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20144/6 Hierarchical Multi-Label Factorial CRF Input ImageObject segmentation Attributes Segmentation Grid CRFFully-connected CRF Hierarchical Fully-connected CRF

5 Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20145/6 Hierarchical Joint Inference Painted attribute segmentation Object Classes Segmentation Cotton attribute segmentation Glossy attribute segmentation Input Image Picture Chair Floor Wall Cotton Glossy Painted

6 Shuai Zheng et al. Dense Semantic Image Segmentation with Objects and Attributes. IEEE CVPR 2014.01/06/20146/6 Thank you! Posters P6 16:30-18:30, Thursday, June 26. http://www.robots.ox.ac.uk/~tvg/


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