Support surface prediction in indoor scenes

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2013, Pages 2144-2151

  Guo, Ruiqi ^a   Hoiem, Derek ^a  

^a NONE

Author keywords

image parsing; RGBD; scene understanding; support surfaces

Indexed keywords

DATA PROCESSING; FORECASTING; IMAGE PROCESSING;

GROUND TRUTH; IMAGE PARSING; LABELING TOOLS; PLANAR SURFACE; RGBD; SCENE UNDERSTANDING; SUPPORT SURFACES; SUPPORTING SURFACES;

THREE DIMENSIONAL;

EID: 84898793384     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2013.266     Document Type: Conference Paper

References (17)

1. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2010 Results. http://www. pascalnetwork. org/challenges/VOC/voc2010/workshop/index.html.
2. Y. Furukawa, B. Curless, S. M. Seitz, and R. Szeliski. Reconstructing building interiors from images. In ICCV, pages 80-87, 2009.
3. R. Guo and D. Hoiem. Beyond the line of sight: Labeling the underlying surfaces. In ECCV, pages 761-774, 2012.
4. A. Gupta, A. A. Efros, and M. Hebert. Blocks world revisited: Image understanding using qualitative geometry and mechanics. In ECCV, 2010.
5. A. Gupta, S. Satkin, A. A. Efros, and M. Hebert. From 3d scene geometry to human workspace. In CVPR, 2011.
6. V. Hedau, D. Hoiem, and D. Forsyth. Recovering the spatial layout of cluttered rooms. In ICCV, 2009.
7. V. Hedau, D. Hoiem, and D. Forsyth. Thinking inside the box: Using appearance models and context based on room geometry. In ECCV, 2010.
8. V. Hedau, D. Hoiem, and D. A. Forsyth. Recovering free space of indoor scenes from a single image. In CVPR, pages 2807-2814, 2012.
9. Y. Jiang, M. Lim, C. Zheng, and A. Saxena. Learning to place new objects in a scene. I. J. Robotic Res., 31(9):1021-1043, 2012.
10. D. C. Lee, M. Hebert, and T. Kanade. Geometric reasoning for single image structure recovery. In CVPR, 2009.
11. S. Satkin, J. Lin, and M. Hebert. Data-driven scene understanding from 3D models. In BMVC, 2012.
12. A. G. Schwing, T. Hazan, M. Pollefeys, and R. Urtasun. Efficient structured prediction for 3d indoor scene understanding. In CVPR, pages 2815-2822, 2012.
13. T. Shao, W. Xu, K. Zhou, J. Wang, D. Li, and B. Guo. An interactive approach to semantic modeling of indoor scenes with an rgbd camera. ACM Trans. Graph., 31(6):136, 2012.
14. N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV, pages 746-760, 2012.
15. C. J. Taylor and A. Cowley. Parsing indoor scenes using rgbd imagery. In Robotics: Science and Systems, 2012.
16. Z. Tu and X. Bai. Auto-context and its application to highlevel vision tasks and 3d brain image segmentation. IEEE Trans. Pattern Anal. Mach. Intell., 32(10):1744-1757, 2010.
17. J. Xiao and Y. Furukawa. Reconstructing the world's museums. In ECCV (1), pages 668-681, 2012.