Fast single shot detection and pose estimation

Proceedings - 2016 4th International Conference on 3D Vision, 3DV 2016

Volumn , Issue , 2016, Pages 676-684

  Poirson, Patrick ^a   Ammirato, Phil ^a   Fu, Cheng Yang ^a   Liu, Wei ^a   Kosecka, Jana ^b   Berg, Alexander C ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b GEORGE MASON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVOLUTION; DEEP LEARNING; ROBOTS;

CONVOLUTIONAL NETWORKS; FRAMES PER SECONDS; INTERMEDIATE STAGE; LEARNING APPROACH; OBJECT CATEGORIES; OBJECT TRACKING; POSE ESTIMATION; PRE-PROCESSING STEP;

GESTURE RECOGNITION;

EID: 85011305637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/3DV.2016.78     Document Type: Conference Paper

References (21)

1. A. Collet, M. Martinez, and S. S. Srinivasa. The moped framework: Object recognition and pose estimation for manipulation. Int. J. Rob. Res., 30(10): 1284-1306, Sept. 2011
2. M. Everingham, S. A. Eslami, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes challenge: A retrospective. International Journal of Computer Vision, 111(1): 98-136, 2015
3. V. Ferrari, T. Tuytelaars, and L. Gool. Simultaneous object recognition and segmentation from single or multiple model views. Int. J. Comput. Vision, 67(2): 159-188, Apr. 2006
4. Y. Furukawa, B. Curless, S. M. Seitz, and R. Szeliski. Towards internet-scale multi-view stereo. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
5. Y. Furukawa, and J. Ponce. Accurate, dense, and robust multiview stereopsis. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
6. A. Ghodrati, M. Pedersoli, and T. Tuytelaars. Is 2d information enough for viewpoint estimation?. In BMVC, 2014
7. R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 580-587, 2014
8. D. Glasner, M. Galun, S. Alpert, R. Basri, and G. Shakhnarovich. Viewpoint-Aware object detection and pose estimation. In 2011 International Conference on Computer Vision, pages 1275-1282. IEEE, 2011
9. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012
10. W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. F. Fu, and A. C. Berg. Ssd: Single shot multibox detector. arXiv preprint arXiv: 1512.02325, 2016
11. B. Pepik, M. Stark, P. Gehler, and B. Schiele. Teaching 3d geometry to deformable part models. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pages 3362-3369. IEEE, 2012
12. S. Ren, K. He, R. Girshick, and J. Sun. Faster r-cnn: Towards real-Time object detection with region proposal networks. In Advances in neural information processing systems, pages 91-99, 2015
13. F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce. 3d object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints. Int. J. Comput. Vision, 66(3): 231-259, Mar. 2006
14. O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al. Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 115(3): 211-252, 2015
15. S. Savarese, and L. Fei-Fei. 3d generic object categorization, localization and pose estimation. In 2007 IEEE 11th International Conference on Computer Vision, pages 1-8. IEEE, 2007
16. J. L. Schönberger and J.-M. Frahm. Structure-from-motion revisited. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
17. K. Simonyan, and A. Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv: 1409.1556, 2014
18. H. Su, C. R. Qi, Y. Li, and L. J. Guibas. Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views. In The IEEE International Conference on Computer Vision (ICCV), December 2015
19. S. Tulsiani, and J. Malik. Viewpoints and keypoints. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1510-1519. IEEE, 2015
20. F. Viksten, R. Soderberg, K. Nordberg, and C. Perwass. Increasing pose estimation performance using multi-cue integration. In Robotics and Automation, 2006
21. Y. Xiang, R. Mottaghi, and S. Savarese. Beyond pascal: A benchmark for 3d object detection in the wild. In IEEE Winter Conference on Applications of Computer Vision, pages 75-82. IEEE, 2014