This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Recognizing Planar Symbols with Severe Perspective Deformation
April 2010 (vol. 32 no. 4)
pp. 755-762
Linlin Li, National University of Singapore, Singapore
Chew Lim Tan, National University of Singapore, Singapore
A common problem encountered in recognizing real-scene symbols is the perspective deformation. In this paper, a recognition method resistant to perspective deformation is proposed, based on Cross-Ratio Spectrum descriptor. This method shows good resistance to severe perspective deformation and good discriminating power to similar symbols.

[1] S. Belongie, J. Malik, and J. Puzicha, "Shape Matching and Object Recognition Using Shape Contexts," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 4, pp. 509-522, Apr. 2002.
[2] M. Bober, "MPEG-7 Visual Shape Descriptors," IEEE Trans. Circuits and Systems for Video Technology, vol. 11, no. 6, pp. 716-719, June 2001.
[3] X. Chen and A.L. Yuille, "Detecting and Reading Text in Natural Scenes," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, 2004.
[4] P. Clark and M. Mirmehdi, "Recognizing Text in Real Scenes," Int'l J. Document Analysis and Recognition, vol. 4, no. 4, pp. 243-257, 2004.
[5] A. de la Escalera, L. Moreno, M. Salichs, and J. Armingol, "Road Traffic Sign Detection and Classification," IEEE Trans. Industrial Electronics, vol. 44, no. 6, pp. 848-859, Dec. 1997.
[6] D. Jelinek and C.J. Taylor, "Reconstruction of Linearly Parameterized Models from Single Images with a Camera of Unknown Focal Length," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 7, pp. 767-773, July 2001.
[7] E. Keogh and S. Kasetty, "On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration," Proc. Eighth Int'l Conf. Knowledge Discovery and Data Mining, pp. 102-111, 2004.
[8] L. Li and C.L. Tan, "Character Recognition Under Severe Perspective Distortion," Proc. 19th Int'l Conf. Pattern Recognition, 2008.
[9] D. Lowe, "Distinctive Image Features from Scale Invariant Keypoints," Int'l J. Computer Vision, vol. 2, no. 60, pp. 91-110, 2004.
[10] S. Lu, B.M. Chen, and C.C. Ko, "Perspective Rectification of Document Images Using Fuzzy Set and Morphological Operations," Image and Vision Computing, vol. 23, no. 5, pp. 541-553, 2005.
[11] S. Lu and C.L. Tan, "Camera Text Recognition Based on Perspective Invariants," Proc. 18th Int'l Conf. Pattern Recognition, vol. 2, pp. 1042-1045, 2006.
[12] K. Mikolajczyk and C. Schmid, "A Performance Evaluation of Local Descriptors," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 10, pp. 1615-1630, Oct. 2005.
[13] J.L. Mundy and A.P. Zisserman, Geometric Invariance in Computer Vision. MIT Press, 1992.
[14] G.K. Myers, R.C. Bolles, Q.T. Luong, and J.A. Herson, "Rectification and Recognition of Text in 3D Scenes," Int'l J. Document Analysis and Recognition, vol. 7, nos. 2/3, pp. 147-158, 2005.
[15] C. Orrite and J.E. Herrero, "Shape Matching of Partially Occluded Curves Invariant Under Projective Transformation," Computer Vision and Image Understanding, vol. 93, no. 1, pp. 34-64, 2004.
[16] M. Pilu, "Extraction of Illusory Linear Clues in Perspectively Skewed Documents," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 363-368, 2001.
[17] C.A. Rothwell, A. Zisserman, D.A. Forsyth, and J.L. Mundy, "Planar Object Recognition Using Projective Shape Representation," Int'l J. Computer Vision, vol. 16, no. 1, pp. 57-99, 1995.
[18] T. Suk and J. Flusser, "Vertex-Based Features for Recognition of Projectively Deformed Polygons," Pattern Recognition, vol. 29, no. 3, pp. 361-367, 1996.
[19] T. Suk and J. Flusser, "Projective Moment Invariants," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 10, pp. 1364-1367, Oct. 2004.
[20] K. Wang and T. Gasser, "Alignment of Curves by Dynamic Time Warping," The Annals of Statistics, vol. 25, no. 3, pp. 1251-1276, 1997.
[21] D. Xu and H. Li, "3D Projective Moment Invariants," J. Information and Computational Science, vol. 4, no. 1, 2007.
[22] T. Yamaguchi, M. Maruyama, H. Miyao, and Y. Nakano, "Digit Recognition in a Natural Scene with Skew and Slant Normalization," Int'l J. Document Analysis and Recognition, vol. 7, nos. 2/3, pp. 168-177, 2005.

Index Terms:
Symbol recognition, perspective deformation.
Citation:
Linlin Li, Chew Lim Tan, "Recognizing Planar Symbols with Severe Perspective Deformation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 4, pp. 755-762, April 2010, doi:10.1109/TPAMI.2009.196
Usage of this product signifies your acceptance of the Terms of Use.