Learning and representing object shape through an array of orientation columns

IEEE Transactions on Neural Networks and Learning Systems

Volumn 25, Issue 7, 2014, Pages 1346-1358

  Wei, Hui ^a   Li, Qiang ^a   Dong, Zheng ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Bidirectional processing; neural modeling; object representation; orientation column

Indexed keywords

DATA PROCESSING; PATTERN RECOGNITION; SEMANTICS;

BIDIRECTIONAL PROCESSING; GEOMETRICAL FEATURES; NEURAL MODELING; OBJECT REPRESENTATIONS; PRELIMINARY INFORMATION; PRIMARY VISUAL CORTEX; SPATIAL RELATIONSHIPS; VISUAL INFORMATION PROCESSING SYSTEMS;

ITERATIVE METHODS;

EID: 84903276771     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2293178     Document Type: Article

References (75)

1. G.-S. Hsu, T. T. Loc, and S.-L. Chung, "A comparison study on appearance-based object recognition," in Proc. 21st ICPR, Nov. 2012, pp. 3500-3503.
2. Y. Kui Liu and B. Žalik, "An efficient chain code with Huffman coding," Pattern Recognit., vol. 38, no. 4, pp. 553-557, Apr. 2005.
3. Q. Niu, H. Zhang, J. Liu, Q. Wang, G. Xu, and Y. Xue, "A shape contour description method based on chain code and fast Fourier transform," in Proc. IEEE 7th ICNC, vol. 3. Jul. 2011, pp. 1809-1812.
4. H. Sánchez-Cruz, E. Bribiesca, and R. M. Rodríguez-Dagnino, "Efficiency of chain codes to represent binary objects," Pattern Recognit., vol. 40, no. 6, pp. 1660-1674, Jun. 2007. (Pubitemid 46399782)
5. Y.-K. Liu, B. Žalik, P.-J. Wang, and D. Podgorelec, "Directional difference chain codes with quasi-lossless compression and runlength encoding," Signal Process., Image Commun., vol. 27, no. 9, pp. 973-984, Oct. 2012.
6. Y.-C. Hwang, T.-L. Shieh, and L.-S. Lan, "A weighted least-squares approach for B-spline shape representation," in Proc. IEEE 3rd ISCCSP, Mar. 2008, pp. 894-898.
7. M. S. Khan, A. F. Ayob, A. Isaacs, and T. Ray, "A novel evolutionary approach for 2D shape matching based on B-spline modeling," in Proc. IEEE CEC, Jun. 2011, pp. 655-661.
8. O. Grove, K. Rajab, L. Piegl, and S. Lai-Yuen, "From CT to NURBS: Contour fitting with B-spline curves," Comput., Aided Des. Appl., vol. 8, no. 1, pp. 3-21, 2011.
9. A. Carmona-Poyato, F. J. Madrid-Cuevas, R. Medina-Carnicer, and R. Muñoz-Salinas, "Polygonal approximation of digital planar curves through break point suppression," Pattern Recognit., vol. 43, no. 1, pp. 14-25, Jan. 2010.
10. A. Masood and S. A. Haq, "A novel approach to polygonal approximation of digital curves," J. Vis. Commun. Image Represent., vol. 18, no. 3, pp. 264-274, Jun. 2007. (Pubitemid 46678856)
11. A. Carmona-Poyato, R. Medina-Carnicer, F. J. Madrid-Cuevas, R. Muñoz-Salinas, and N. Fernández-García, "A new measurement for assessing polygonal approximation of curves," Pattern Recognit., vol. 44, no. 1, pp. 45-54, Jan. 2011.
12. J. Hu and J. Hua, "Salient spectral geometric features for shape matching and retrieval," Vis. Comput., vol. 25, nos. 5-7, pp. 667-675, May 2009.
13. A. M. Pinheiro and M. Ghanbari, "Piecewise approximation of contours through scale-space selection of dominant points," IEEE Trans. Image Process., vol. 19, no. 6, pp. 1442-1450, Jun. 2010.
14. K. Zhu, Y. Wong, W. F. Lu, and J. Y. Fuh, "A diffusion wavelet approach for 3-D model matching," Comput., Aided Des., vol. 41, no. 1, pp. 28-36, Jan. 2009.
15. K. Nasreddine, A. Benzinou, and R. Fablet, "Variational shape matching for shape classification and retrieval," Pattern Recognit. Lett., vol. 31, no. 12, pp. 1650-1657, Sep. 2010.
16. G. Zou, J. Hua, Z. Lai, X. Gu, and M. Dong, "Intrinsic geometric scale space by shape diffusion," IEEE Trans. Visualizat. Comput. Graph., vol. 15, no. 6, pp. 1193-1200, Nov./Dec. 2009.
17. C. Luo and S. Zhou, "On 3D contour matching based on geometry features," in Applied Informatics and Communication. New York, NY, USA: Springer-Verlag, 2011, pp. 622-630.
18. B. Huang, J. Wu, D. Zhang, and N. Li, "Tongue shape classification by geometric features," Inf. Sci., vol. 180, no. 2, pp. 312-324, Jan. 2010.
19. J. Žuni'c, K. Hirota, and P. L. Rosin, "A Hu moment invariant as a shape circularity measure," Pattern Recognit., vol. 43, no. 1, pp. 47-57, Jan. 2010.
20. C. Direkoǧlu and M. S. Nixon, "Shape classification via image-based multiscale description," Pattern Recognit., vol. 44, no. 9, pp. 2134-2146, Sep. 2011.
21. K. Arai, "Visualization of 3D object shape complexity with wavelet descriptor and its application to image retrievals," J. Visualizat., vol. 15, no. 2, pp. 155-166, May 2012.
22. I. Epifanio, "Shape descriptors for classification of functional data," Technometrics, vol. 50, no. 3, pp. 284-294, 2008.
23. Z. Lin and L. S. Davis, "Shape-based human detection and segmentation via hierarchical part-template matching," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 4, pp. 604-618, Apr. 2010.
24. B. Al-Diri, A. Hunter, and D. Steel, "An active contour model for segmenting and measuring retinal vessels," IEEE Trans. Med. Imaging, vol. 28, no. 9, pp. 1488-1497, Sep. 2009.
25. H. Li, Y. Wang, and Z. Yu, "Template match of buildings and results analysis," in Proc. IEEE 18th Int. Conf. Geoinformat., Jun. 2010, pp. 1-5.
26. I. Biederman, "Recognition-by-components: A theory of human image understanding," Psychol. Rev., vol. 94, no. 2, pp. 115-147, 1987.
27. W. H. Bosking, J. C. Crowley, and D. Fitzpatrick, "Spatial coding of position and orientation in primary visual cortex," Nature Neurosci., vol. 5, no. 9, pp. 874-882, Aug. 2002. (Pubitemid 34976653)
28. S. O. Murray, P. Schrater, and D. Kersten, "Perceptual grouping and the interactions between visual cortical areas," Neural Netw., vol. 17, nos. 5-6, pp. 695-705, Jun./Jul. 2004. (Pubitemid 39118315)
29. S. Tanaka, M. Miyashita, and J. Ribot, "Roles of visual experience and intrinsic mechanism in the activity-dependent self-organization of orientation maps: Theory and experiment," Neural Netw., vol. 17, nos. 8-9, pp. 1363-1375, Oct./Nov. 2004. (Pubitemid 39539547)
30. P. A. Watters, "Coding distributed representations of natural scenes: A comparison of orthogonal and non-orthogonal models," Neurocomputing, vol. 61, pp. 277-289, Oct. 2004. (Pubitemid 39618381)
31. Y. Kamitani and F. Tong, "Decoding the visual and subjective contents of the human brain," Nature Neurosci., vol. 8, no. 5, pp. 679-685, Apr. 2005. (Pubitemid 40594211)
32. R. Prenger, M. C.-K. Wu, S. V. David, and J. L. Gallant, "Nonlinear V1 responses to natural scenes revealed by neural network analysis," Neural Netw., vol. 17, nos. 5-6, pp. 663-679, Jun./Jul. 2004. (Pubitemid 39118313)
33. J. A. Bednar and R. Miikkulainen, "Joint maps for orientation, eye, and direction preference in a self-organizing model of V1," Neurocomputing, vol. 69, no. 10, pp. 1272-1276, 2006. (Pubitemid 44382326)
34. J. A. Bednar, J. B. De Paula, and R. Miikkulainen, "Self- organization of color opponent receptive fields and laterally connected orientation maps," Neurocomputing, vols. 65-66, no. 8, pp. 69-76, 2005. (Pubitemid 40626667)
35. S. Jegelka, J. A. Bednar, and R. Miikkulainen, "Prenatal development of ocular dominance and orientation maps in a self-organizing model of V1," Neurocomputing, vol. 69, no. 10, pp. 1291-1296, 2006.
36. Y. F. Sit and R. Miikkulainen, "Self-organization of hierarchical visual maps with feedback connections," Neurocomputing, vol. 69, no. 10, pp. 1309-1312, 2006.
37. A. Plebe and R. G. Domenella, "Object recognition by artificial cortical maps," Neural Netw., vol. 20, no. 7, pp. 763-780, Sep. 2007. (Pubitemid 47361673)
38. M. Gheiratmand, H. Soltanian-Zadeh, and H. Khaloozadeh, "Towards an inclusive computational model of visual cortex," in Proc. 8th IEEE Int. Conf. BIBE, Oct. 2008, pp. 1-5.
39. E. Erwin, K. Obermayer, and K. Schulten, "Models of orientation and ocular dominance columns in the visual cortex: A critical comparison," Neural Comput., vol. 7, no. 3, pp. 425-468, May 1995.
40. N. Swindale, "The development of topography in the visual cortex: A review of models," Netw., Comput. Neural Syst., vol. 7, no. 2, pp. 161-247, 1996. (Pubitemid 126714788)
41. K. Shimonomura, T. Kushima, and T. Yagi, "Neuromorphic binocular vision system for real-time disparity estimation," in Proc. IEEE Int. Conf. Robot. Autom., Apr. 2007, pp. 4867-4872. (Pubitemid 350140941)
42. K. Shimonomura, T. Kushima, and T. Yagi, "Binocular robot vision emulating disparity computation in the primary visual cortex," Neural Netw., vol. 21, nos. 2-3, pp. 331-340, Mar./Apr. 2008.
43. K. Shimonomura and T. Yagi, "Neuromorphic VLSI vision system for real-time texture segregation," Neural Netw., vol. 21, no. 8, pp. 1197-1204, Oct. 2008.
44. K. L. Rice, C. N. Vutsinas, and T. M. Taha, "A preliminary investigation of a neocortex model implementation on the Cray XD1," in Proc. ACM/IEEE Conf. SC, Nov. 2007, pp. 1-8.
45. M. Mathur and B. Bhaumik, "Study of spatial frequency selectivity and its spatial organization in the visual cortex through a feedforward model," Neurocomputing, vols. 65-66, pp. 85-91, Jun. 2005. (Pubitemid 40613552)
46. S. Xiao and N. Gao, "Research on visual invariance based on dynamic receptive field," in Proc. IEEE Int. Conf. Comput. Sci. Softw. Eng., Dec. 2008, pp. 273-276.
47. L. Y. Zhao and B. E. Shi, "Integrating contrast invariance into a model for cortical orientation map formation," Neurocomputing, vol. 72, nos. 7-9, pp. 1887-1899, Mar. 2009.
48. H. Kolb, E. Fernandez, and R. Nelson, Webvision. University of Utah Health Sciences Center, 1995.
49. W. Yang and L. Zhang, "Spatiotemporal feature extraction based on invariance representation," in Proc. IEEE IJCNN, Jun. 2008, pp. 927-932.
50. J. Z. Jin, C. Weng, C.-I. Yeh, J. A. Gordon, E. S. Ruthazer, M. P. Stryker, et al., "On and off domains of geniculate afferents in cat primary visual cortex," Nature Neurosci., vol. 11, no. 1, pp. 88-94, Dec. 2007.
51. R. Kupper, A. Knoblauch, M.-O. Gewaltig, U. Körner, and E. Körner, "Simulations of signal flow in a functional model of the cortical column," Neurocomputing, vol. 70, nos. 10-12, pp. 1711-1716, Jun. 2007. (Pubitemid 46656956)
52. B. Çürüklü and A. Lansner, "A model of the summation pools within the layer 4 (area 17)," Neurocomputing, vols. 65-66, pp. 167-172, Jun. 2005. (Pubitemid 40613561)
53. J. M. Delgado, A. Turiel, and N. Parga, "Receptive fields of simple cells from a taxonomic study of natural images and suppression of scale redundancy," Neurocomputing, vol. 69, nos. 10-12, pp. 1224-1227, Jun. 2006. (Pubitemid 44382325)
54. Q. Tang, N. Sang, and T. Zhang, "Extraction of salient contours from cluttered scenes," Pattern Recognit., vol. 40, no. 11, pp. 3100-3109, Nov. 2007. (Pubitemid 46990429)
55. G.-E. La Cara and M. Ursino, "A model of contour extraction including multiple scales, flexible inhibition and attention," Neural Netw., vol. 21, no. 5, pp. 759-773, Jun. 2008.
56. S. Aly, N. Tsuruta, R.-I. Taniguchi, and A. Shimada, "Visual feature extraction using variable map-dimension hypercolumn model," in Proc. IEEE IJCNN, Jun. 2008, pp. 845-851.
57. Y. Huang, K. Huang, L. Wang, D. Tao, T. Tan, and X. Li, "Enhanced biologically inspired model," in Proc. IEEE CVPR, Jun. 2008, pp. 1-8.
58. W. Huang, L. Jiao, and J. Jia, "Modeling contextual modulation in the primary visual cortex," Neural Netw., vol. 21, no. 8, pp. 1182-1196, 2008.
59. H. Jhuang, T. Serre, L. Wolf, and T. Poggio, "A biologically inspired system for action recognition," in Proc. 11th IEEE ICCV, Jun. 2007, pp. 1-8.
60. G. G. Blasdel and G. Salama, "Voltage-sensitive dyes reveal a modular organization in monkey striate cortex," Nature, vol. 321, no. 6070, pp. 579-585, Jun. 1986. (Pubitemid 16042209)
61. D. H. Hubel and T. N. Wiesel, "Sequence regularity and geometry of orientation columns in the monkey striate cortex," J. Comparat. Neurol., vol. 158, no. 3, pp. 267-293, 1974.
62. (2013, Jul. 19). Webvision: The Organization of the Retina and Visual System [Online]. Available: http://webvision.med.utah.edu
63. M. Stemmler, M. Usher, and E. Niebur, "Lateral interactions in primary visual cortex: A model bridging physiology and psychophysics," Science, vol. 269, no. 5232, pp. 1877-1880, 1995.
64. H. Wei and Y. Wang, "A new model to simulate the formation of orientation columns map in visual cortex," in Advances in Neural Networks (LNCS). New York, NY, USA: Springer-Verlag, 2011, pp. 35-41.
65. H. Yu, B. J. Farley, D. Z. Jin, and M. Sur, "The coordinated mapping of visual space and response features in visual cortex," Neuron, vol. 47, no. 2, pp. 267-280, 2005. (Pubitemid 41019257)
66. R. Mikkulainen, Computational Maps in the Visual Cortex. New York, NY, USA: Springer-Verlag, 2005.
67. A. Shmuel and A. Grinvald, "Coexistence of linear zones and pinwheels within orientation maps in cat visual cortex," Proc. Nat. Acad. Sci., vol. 97, no. 10, pp. 5568-5573, Jan. 2000. (Pubitemid 30313759)
68. S. Belongie, G. Mori, and J. Malik, "Matching with shape contexts," in Statistics and Analysis of Shapes. New York, NY, USA: Springer-Verlag, 2006, pp. 81-105.
69. A. Ghosh and N. Petkov, "Robustness of shape descriptors to incomplete contour representations," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 11, pp. 1793-1804, Nov. 2005. (Pubitemid 41685114)
70. S. Belongie, J. Malik, and 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. (Pubitemid 34448769)
71. D. G. Lowe, "Object recognition from local scale-invariant features," in Proc. 7th IEEE Int. Conf. Comput. Vis., vol. 2. Sep. 1999, pp. 1150-1157.
72. V. Ferrari, F. Jurie, and C. Schmid, "From images to shape models for object detection," Int. J. Comput. Vis., vol. 87, no. 3, pp. 284-303, 2010.
73. V. Ferrari, T. Tuytelaars, and L. Van Gool, "Object detection by contour segment networks," in Proc. ECCV, Jun. 2006, pp. 14-28. (Pubitemid 44029664)
74. C. Lu, L. J. Latecki, N. Adluru, X. Yang, and H. Ling, "Shape guided contour grouping with particle filters," in Proc. IEEE 12th ICCV, Oct. 2009, pp. 2288-2295.
75. A. Thayananthan, B. Stenger, P. H. Torr, and R. Cipolla, "Shape context and chamfer matching in cluttered scenes," in Proc. IEEE Comput. Soc. Conf. CVPR, vol. 1. Jun. 2003, pp. 127-133.