BodyPrint: Pose invariant 3D shape matching of human bodies

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 1591-1599

  Wang, Jiangping ^a   Ma, Kai ^b   Singh, Vivek Kumar ^b   Huang, Thomas ^a   Chen, Terrence ^b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b Medical Imaging Technologies   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER GRAPHICS; FACE RECOGNITION; IMAGE PROCESSING; MESH GENERATION;

3D SHAPE MATCHING; DISCRIMINABILITY; LEARNING FRAMEWORKS; LOW-DIMENSIONAL SUBSPACE; MISSING INFORMATION; ON-LINE UPDATES; POSE INVARIANT; POSE VARIATION;

COMPUTER VISION;

EID: 84973869955     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.186     Document Type: Conference Paper

References (38)

1. http://poser. smithmicro. com/poser10-poserpro2014. 2
2. https://www. microsoft. com/en-us/kinectforwindows. 1
3. D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis. SCAPE: shape completion and animation of people. ACM Trans. Graph, 2005. 2, 3
4. A. Balan and M. J. Black. The naked truth: Estimating body shape under clothing, In ECCV, 2008. 2, 3
5. A. Bar-Hillel, T. Hertz, N. Shental, and D. Weinshall. Learning distance functions using equivalence relations. In ICML, 2003. 2
6. B. I. Barbosa, M. Cristani, A. Del Bue, L. Bazzani, and V. Murino. Re-identification with rgbd sensors. In 1st Intl Workshop on Re-identification, October 2012. 1, 6
7. S. Bauer, J. Wasza, S. Haase, N. Marosi, and J. Hornegger. Multi-modal surface registration for markerless initial patient setup in radiation therapy using microsoft's kinect sensor. In ICCV Workshops, 2011. 2
8. V. Blanz, S. Romdhani, and T. Vetter. Face identification across different poses and illuminations with a 3d morphable model. In AFGR, 2002. 6, 7, 8
9. F. Bogo, J. Romero, M. Loper, and M. J. Black. FAUST: Dataset and evaluation for 3D mesh registration. In CVPR, 2014. 3, 5
10. A. M. Bronstein, M. M. Bronstein, L. J. Guibas, and M. Ovsjanikov. Shape google: Geometric words and expressions for invariant shape retrieval. ACM Transactions on Graphics (TOG), 30(1):1, 2011. 2
11. M. Bronstein and I. Kokkinos. Scale-invariant heat kernel signatures for non-rigid shape recognition. In CVPR, 2010. 2
12. G. Chechik, V. Sharma, U. Shalit, and S. Bengio. Large scale online learning of image similarity through ranking. The Journal of Machine Learning Research, 2010. 2, 5
13. K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, and Y. Singer. Online passive-aggressive algorithms. The Journal of Machine Learning Research, 2006. 4, 5
14. J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon. Information-theoretic metric learning. In ICML, 2007. 2, 6
15. M. Guillaumin, J. Verbeek, and C. Schmid. Is that you? metric learning approaches for face identification. In ICCV, 2009. 2
16. A. Kanaujia, C. Sminchisescu, and D. Metaxas. Semisupervised hierarchical models for 3d human pose reconstruction. In CVPR, 2007. 2
17. M. Koestinger, M. Hirzer, P. Wohlhart, P. M. Roth, and H. Bischof. Large scale metric learning from equivalence constraints. In CVPR, 2012. 6
18. I. Kokkinos, M. M. Bronstein, R. Litman, and A. M. Bronstein. Intrinsic shape context descriptors for deformable shapes. In CVPR, 2012. 2
19. J. E. Lee, R. Jin, and A. K. Jain. Rank-based distance metric learning: An application to image retrieval. In CVPR, 2008. 4
20. R. Litman, A. Bronstein, M. Bronstein, and U. Castellani. Supervised learning of bag-of-features shape descriptors using sparse coding. In Computer Graphics Forum, volume 33, pages 127-136. Wiley Online Library, 2014. 2, 6, 7, 8
21. J. Mei, M. Liu, H. Karimi, and H. Gao. Logdet divergencebased metric learning with triplet constraints and its applications. Image Processing, IEEE Transactions on, 23(11):4920-4931, Nov 2014. 6, 7
22. A. Mignon and F. Jurie. Pcca: A new approach for distance learning from sparse pairwise constraints. In CVPR, 2012. 2
23. M. Munaro, A. Basso, A. Fossati, L. Van Gool, and E. Menegatti. 3d reconstruction of freely moving persons for re-identification with a depth sensor. In ICRA, 2014. 1, 6
24. A. Petrelli and L. Di Stefano. On the repeatability of the local reference frame for partial shape matching. In ICCV, 2011. 2
25. D. Pickup, X. Sun, P. L. Rosin, R. R. Martin, Z. Cheng, Z. Lian, M. Aono, A. Ben Hamza, A. Bronstein, M. Bronstein, and et al. SHREC'14 track: Shape retrieval of nonrigid 3d human models. In Proceedings of the 7th Eurographics workshop on 3D Object Retrieval, 2014. 1, 2, 6
26. M. Reuter, F.-E. Wolter, and N. Peinecke. Laplace-beltrami spectra as 'shape-dna' of surfaces and solids. Comput. Aided Des., 2006. 2
27. K. Robinette, S. Blackwell, H. Daanen, M. Boehmer, S. Fleming, T. Brill, D. Hoeferlin, and D. Burnsides. Civilian american and european surface anthropometry resource final report. AFRL-HE-WP-TR, 2002. 4, 5
28. R. B. Rusu and S. Cousins. 3d is here: Point cloud library (pcl). In International Conference on Robotics and Automation, 2011. 3, 6, 7, 8
29. S. Shalev-Shwartz, Y. Singer, and A. Y. Ng. Online and batch learning of pseudo-metrics. In ICML, 2004. 4, 5
30. P. Shilane, P. Min, M. Kazhdan, and T. Funkhouser. The princeton shape benchmark. In Shape modeling applications Proceedings, 2004. 6
31. L. Sigal, M. Isard, H. Haussecker, and M. Black. Looselimbed people: Estimating 3d human pose and motion using non-parametric belief propagation. IJCV, 2012. 2
32. V. Singh, Y.-j. Chang, K. Ma, M. Wels, G. Soza, and T. Chen. Estimating a patient surface model for optimizing the medical scanning workflow. In MICCAI, 2014. 1, 2
33. A. Tsoli, M. Loper, and M. Black. Model-based anthropometry: Predicting measurements from 3d human scans in multiple poses. In WACV, 2014. 1, 2
34. C. Wachinger, P. Golland, and M. Reuter. Brainprint : Identifying subjects by their brain. In MICCAI, 2014. 2
35. K. Weinberger and L. Saul. Distance metric learning for large margin nearest neighbor classification. The Journal of Machine Learning Research, 10:207-244, 2009. 4, 6
36. A. Weiss, D. Hirshberg, and M. Black. Home 3d body scans from noisy image and range data. In ICCV, 2011. 2, 3
37. A. Zaharescu, E. Boyer, K. Varanasi, and R. Horaud. Surface feature detection and description with applications to mesh matching. In CVPR, 2009. 2
38. W.-S. Zheng, S. Gong, and T. Xiang. Reidentification by relative distance comparison. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(3):653-668, 2013. 2