The log-polar image representation in pattern recognition tasks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2652, Issue , 2003, Pages 1032-1040

  Traver, V Javier ^a   Pla, Filiberto ^a  

^a UNIVERSITAT JAUME I   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

ACTIVE VISION; IMAGE MODELING; IMAGE REPRESENTATIONS; IMAGE TRANSFORMS; LOG-POLAR; LOG-POLAR MAPPING; SCALE INVARIANT;

PATTERN RECOGNITION;

EID: 34548270272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-44871-6_119     Document Type: Article

References (30)

1. J. Y. Aloimonos, I. Weiss, and A. Bandyopadhyay. Active vision. Intl. Journal of Computer Vision, pages 333-356, 1988.
2. D. H. Ballard. Animate vision. Artificial Intelligence, 48:57-86, 1991.
3. S. L. Bartlett, A. Hampapur, M. J. Huber, D. Kortenkamp, and S. Moezzi. Vision for mobile robots. In J. L. C. Sanz, editor, Image Technology: Advances in Image Processing, Multimedia and Machine Vision, pages 1-37. Springer, 1996.
4. A. Bernardino and J. Santos-Victor. Sensor geometry for dynamic vergence: Characterization and performance analysis. In Workshop on Performance Characteristics of Vision Algorithms, ECCV, 1996. (Also as TR 01/96 at VisLab, Lisbon, Portugal).
5. M. Bolduc and M. D. Levine. A review of biologically motivated space-variant data reduction models for robotic vision. Computer Vision and Image Understanding (CVIU), 69(2):170-184, Feb. 1998.
6. G. Bonmassar and E. L. Schwartz. Space-variant Fourier analysis: The exponential chirp transform. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 19(10):1080-1089, Oct. 1997.
7. L. Capodiferro, R. Cusani, G. Jacovitti, and M. Vascotto. A correlation based technique for shift, scale and rotation independent object identification. In Intl. Conf. on Acoustics, Speech, and Signal Processing, volume 1, pages 221-224, 1987.
8. C. Capurro, F. Panerai, and G. Sandini. Vergence and tracking fusing log-polar images. In Intl. Conf. on Pattern Recognition (ICPR), pages 740-744. IEEE, 1996.
9. ∼debevec/face_recognition_report.pdf, Fall 1992.
10. K. Hotta, T. Kurita, and T. Mishima. Scale invariant face recogniton method using spectral features in log-polar image. In Applications of Digital Image Processing XXII (SPIE Proc.), pages 33-43, 1999.
11. F. Jurie. A new log-polar mapping for space variant imaging. Application to face detection and tracking. Pattern Recognition, 32:865-875, 1999.
12. N. Kehtarnavaz and A. Ahmad. Traffic sign recognition in noisy outdoor scenes. In IEEE Intl. Conf. on Intelligent Vehicles, pages 460-565, 1995.
13. L. H. Koh, S. Ranganath, M. W. Lee, and Y. V. Venkatesth. An integrated face detection and recognition system. In Intl. Conf. on Image Analysis and Processing (ICIAP), Venice, Italy, Sept. 1999.
14. S. Lee and T. Horprasert. Recognition of handwritten connected numerals based on dual cooperative neural network. In Intl. Conf. on Neural Networks, Perth, Australia, Dec. 1995.
15. F. L. Lim, G. A. W. West, and S. Venkatesh. Use of log polar space for foveation and feature recognition. IEE Proc. Vis. Image Signal Process., 144(6):323-331, Dec. 1997.
16. L. Massone, G. Sandini, and V. Tagliasco. 'Form-Invariant' topological mapping strategy for 2D shape recognition. Computer Vision, Graphics, and Image Processing, 30:169-188, 1985.
17. Z. Mikrut and G. Augustyn. Influence of the object representation on the results of characters recognition in the car's licence plates. In 5th Conf. on Neural Networks and Soft Computing, Zakopane, Poland, June 2000.
18. Z. Mikrut and B. Czwartkowski. Log-Hough space as input for a neural network. In 4th Conf. on Neural Networks and their Applications, Zakopane, Poland, May 1999.
19. E. L. Schwartz. Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception. Biological Cybernetics, 25:181-194, 1977.
20. A. L. Thornton. Color Object Recognition Using a Complex Colour Representation and the Frequency Domain. PhD thesis, Department of Engineering, The University of Reading, May 1998.
21. M. Tistarelli. Active/space-variant object recognition. Image and Vision Computing (IVC), 13(3):215-226, Apr. 1995.
22. M. Tistarelli and E. Grosso. Active vision-based face authentication. Image and Vision Computing (IVC), 18:299-314, 2000.
23. M. Tistarelli and G. Sandini. Estimation of depth from motion using an anthropomorphic visual sensor. Image and Vision Computing (IVC), 8(4):271-278, Nov. 1990.
24. M. Tistarelli and G. Sandini. On the advantages of polar and log-polar mapping for direct estimation of time-to-impact from optical flow. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 15:401-410, 1993.
25. V. J. Traver. Motion Estimation Algorithms in Log-polar Images and Application to Monocular Active Tracking. PhD thesis, Dep. Llenguatges i Sistemes Informatics, Universitat Jaume I, Castellón (Spain), Sept. 2002.
26. V. J. Traver and F. Pla. Dealing with 2D translation estimation in log-polar imagery. Image and Vision Computing (IVC), 21(3):145-160, Feb. 2003.
27. C. F. R. Weiman. Polar exponential sensor arrays unify iconic and Hough space representation. In SPIE Conf. on Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, volume 1192, Philadelphia, Nov. 1989.
28. J. C. Wilson and R. M. Hodgson. Log-polar mapping applied to pattern representation and recognition. Computer Vision and Image Processing, pages 245-277, 1992.
29. R. Wodnicki, G. W. Roberts, and M. D. Levine. A foveated image sensor in standard CMOS technology. In Custom Integrated Circuits Conf., Santa Clara, May 1995.
30. D. Young. Straight lines and circles in the log-polar image. In British Machine Vision Conference, Bristol, UK, Sept. 2000.