Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection

IEEE Transactions on Neural Networks and Learning Systems

Volumn 27, Issue 7, 2016, Pages 1417-1428

  Luo, Ping ^a   Lin, Liang ^a   Liu, Xiaobai ^b  

^a SUN YAT SEN UNIVERSITY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Compositional model; information projection; object detection; Shape analysis.

Indexed keywords

ALGORITHMS; DEFORMATION;

BACKGROUND CLUTTER; BOOSTING SYSTEMS; CONTOUR FEATURES; CONTOUR SEGMENTS; INFORMATION PROJECTIONS; PROTOTYPE CONTOUR; SHAPE DEFORMATION; SHAPE DISTORTIONS;

LEARNING ALGORITHMS;

EID: 84931055720     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2015.2440430     Document Type: Article

References (53)

1. K. B. Sun and B. J. Super, "Classification of contour shapes using class segment sets," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., San Diego, CA, USA, Jun. 2005, pp. 727-733.
2. P. F. Felzenszwalb and J. D. Schwartz, "Hierarchical matching of deformable shapes," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Minneapolis, MN, USA, Jun. 2007, pp. 1-8.
3. L. Lin, X. Wang, W. Yang, J.-H. Lai, "Discriminatively trained And-Or graph models for object shape detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 37, no. 5, pp. 959-972, May 2015.
4. G. McNeill and S. Vijayakumar, "Hierarchical Procrustes matching for shape retrieval," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., vol. 1. Jun. 2006, pp. 885-894.
5. A. Elad and R. Kimmel, "On bending invariant signatures for surfaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 10, pp. 1285-1295, Oct. 2003.
6. I. L. Dryden and K. V. Mardia, Statistical Shape Analysis. New York, NY, USA: Wiley, 1998.
7. C. Goodall, "Procrustes methods in the statistical analysis of shape," J. Roy. Statist. Soc., vol. 53, no. 2, pp. 285-339, 1991.
8. H. Ling and D. W. Jacobs, "Shape classification using the inner-distance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 2, pp. 286-299, Feb. 2007.
9. V. Ferrari, F. Jurie, C. Schmid, "Accurate object detection with deformable shape models learnt from images," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Minneapolis, MN, USA, Jun. 2007, pp. 1-8.
10. S. C. Zhu, Y. N. Wu, D. Mumford, "Minimax entropy principle and its applications to texture modeling," Neural Comput., vol. 9, no. 8, pp. 1627-1660, 1997.
11. J. Xie, W. Hu, S.-C. Zhu, Y. N. Wu, "Learning sparse FRAME models for natural image patterns," Int. J. Comput. Vis., Oct. 2014, doi: 10.1007/s11263-014-0757-x.
12. L. Lin, P. Luo, X. Chen, K. Zeng, "Representing and recognizing objects with massive local image patches," Pattern Recognit., vol. 45, no. 1, pp. 231-240, 2012.
13. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York, NY, USA: Wiley, 1991.
14. X. Bai, W. Liu, Z. Tu, "Integrating contour and skeleton for shape classification," in Proc. IEEE 12th ICCV Workshop, Sep./Oct. 2009, pp. 360-367.
15. D. Tran and D. Forsyth, "Improved human parsing with a full relational model," in Proc. 11th Eur. Conf. Comput. Vis., Heraklion, Greece, Sep. 2010, pp. 227-240.
16. B. Yao, X. Yang, S.-C. Zhu, "Introduction to a large-scale general purpose ground truth database: Methodology, annotation tool and benchmarks," in Energy Minimization Methods in Computer Vision and Pattern Recognition. Berlin, Germany: Springer-Verlag, 2012, pp. 169-183.
17. D. Zhang and G. Lu, "A comparative study on shape retrieval using Fourier descriptors with different shape signatures," J. Vis. Commun. Image Represent., vol. 14, no. 1, pp. 41-60, 2003.
18. T. B. Sebastian, P. N. Klein, B. B. Kimia, "Recognition of shapes by editing their shock graphs," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 550-571, May 2004.
19. G. Tzimiropoulos, N. Mitianoudis, T. Stathaki, "A unifying approach to moment-based shape orientation and symmetry classification," IEEE Trans. Image Process., vol. 18, no. 1, pp. 125-139, Jan. 2009.
20. E. Klassen, A. Srivastava, W. Mio, S. H. Joshi, "Analysis of planar shapes using geodesic paths on shape spaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 3, pp. 372-383, Mar. 2004.
21. D. D. Hoffman and W. A. Richards, "Parts of recognition," Cognition, vol. 18, nos. 1-3, pp. 65-96, 1984.
22. P. Luo, L. Lin, H. Chao, "Learning shape detector by quantizing curve segments with multiple distance metrics," in Proc. 11th Eur. Conf. Comput. Vis. (ECCV), Heraklion, Greece, Sep. 2010, pp. 342-355.
23. F. Mokhtarian and S. Abbasi, "Shape similarity retrieval under affine transforms," Pattern Recognit., vol. 35, no. 1, pp. 31-41, 2002.
24. L. Lin, X. Liu, S.-C. Zhu, "Layered graph matching with composite cluster sampling," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 8, pp. 1426-1442, Aug. 2010.
25. A. Kolesnikov and P. Fränti, "Polygonal approximation of closed contours," in Proc. 13th Scandin. Conf. Image Anal. (SCIA), vol. 2749. 2003, pp. 778-785.
26. F. L. Bookstein, "Principal warps: Thin-plate splines and the decomposition of deformations," IEEE Trans. Pattern Anal. Mach. Intell., vol. 11, no. 6, pp. 567-585, Jun. 1989.
27. J. Duchon, "Splines minimizing rotation-invariant semi-norms in Sobolev spaces," in Constructive Theory of Functions of Several Variables, vol. 571. Berlin, Germany: Springer-Verlag, 1977, pp. 85-100.
28. C. Gu, J. J. Lim, P. Arbelaez, J. Malik, "Recognition using regions," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Miami, FL, USA, Jun. 2009, pp. 1030-1037.
29. X. Bai, Q. Li, L. J. Latecki, W. Liu, Z. Tu, "Shape band: A deformable object detection approach," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2009, pp. 1335-1342.
30. B. Ommer and J. Malik, "Multi-scale object detection by clustering lines," in Proc. IEEE 12th Int. Conf. Comput. Vis., Kyoto, Japan, Sep./Oct. 2009, pp. 484-491.
31. Q. Zhu, L. Wang, Y. Wu, J. Shi, "Contour context selection for object detection: A set-to-set contour matching approach," in Proc. 10th Eur. Conf. Comput. Vis., Marseille, France, Oct. 2008, pp. 774-787.
32. V. Ferrari, L. Fevrier, F. Jurie, C. Schmid, "Groups of adjacent contour segments for object detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 1, pp. 36-51, Jan. 2008.
33. P. Srinivasan, Q. Zhu, J. Shi, "Many-to-one contour matching for describing and discriminating object shape," in Proc. 23rd IEEE Conf. Comput. Vis. Pattern Recognit., San Francisco, CA, USA, Jun. 2010, pp. 1673-1680.
34. J. Shotton, A. Blake, R. Cipolla, "Multiscale categorical object recognition using contour fragments," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 7, pp. 1270-1281, Jul. 2008.
35. L. Lin, X. Wang, W. Yang, J. Lai, "Learning contour-fragmentbased shape model with And-Or tree representation," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 135-142.
36. P. Yarlagadda and B. Ommer, "From meaningful contours to discriminative object shape," in Proc. 12th Eur. Conf. Comput. Vis., Florence, Italy, Oct. 2012, pp. 766-779.
37. P. Kontschieder, H. Riemenschneider, M. Donoser, H. Bischof, "Discriminative learning of contour fragments for object detection," in Proc. Brit. Mach. Vis. Conf., Dundee, U.K., Aug./Sep. 2011, pp. 1-12.
38. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recognit., Jun. 2005, vol. 1, no. 1, pp. 886-893.
39. S. Della Pietra, V. Della Pietra, J. Lafferty, "Inducing features of random fields," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 4, pp. 380-393, Apr. 1997.
40. R. M. Neal, "MCMC using Hamiltonian dynamics," in Handbook of Markov Chain Monte Carlo. Boca Raton, FL, USA: CRC Press, 2011.
41. S. Belongie, J. Malik, J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 4, pp. 509-522, Apr. 2002.
42. I. Borg and P. J. F. Groenen, Modern Multidimensional Scaling: Theory and Applications. New York, NY, USA: Springer-Verlag, 1997.
43. L. J. Latecki and R. Lakämper, "Shape similarity measure based on correspondence of visual parts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 10, pp. 1185-1190, Oct. 2000.
44. X. Wang, B. Feng, X. Bai, W. Liu, L. J. Latecki, "Bag of contour fragments for robust shape classification," Pattern Recognit., vol. 47, no. 6, pp. 2116-2125, 2014.
45. K.-L. Lim and H. K. Galoogahi, "Shape classification using local and global features," in Proc. 4th Pacific-Rim Symp. Image Video Technol. (PSIVT), Nov. 2010, pp. 115-120.
46. X.Wang and L. Lin, "Dynamical And-Or graph learning for object shape modeling and detection," in Proc. Adv. Neural Inf. Process. Syst. (NIPS), 2012, pp. 242-250.
47. T. Jiang, F. Jurie, C. Schmid, "Learning shape prior models for object matching," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Miami, FL, USA, Jun. 2009, pp. 848-855.
48. X. Wang, X. Bai, T. Ma, W. Liu, L. J. Latecki, "Fan shape model for object detection," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Providence, RI, USA, Jun. 2012, pp. 151-158.
49. Y. Wang, D. Tran, Z. Liao, "Learning hierarchical poselets for human parsing," in Proc. 24th IEEE Conf. Comput. Vis. Pattern Recognit., Colorado Springs, CO, USA, Jun. 2011, pp. 1705-1712.
50. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, D. Ramanan, "Object detection with discriminatively trained part-based models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1627-1645, Sep. 2010.
51. P. Arbelaéz, M. Maire, C. Fowlkes, J. Malik, "Contour detection and hierarchical image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 898-916, May 2011.
52. L. Lin, S. Peng, J. Porway, S.-C. Zhu, Y. Wang, "An empirical study of object category recognition: Sequential testing with generalized samples," in Proc. IEEE 11th Int. Conf. Comput. Vis., vol. 1. Oct. 2007, pp. 1-8.
53. X. Bai, X. Wang, L. J. Latecki, W. Liu, Z. Tu, "Active skeleton for non-rigid object detection," in Proc. IEEE 12th Int. Conf. Comput. Vis., Kyoto, Japan, Sep./Oct. 2009, pp. 575-582.