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Face and Facial Landmarks Location Based on Log-Polar Mapping

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1811))

Abstract

In this paper, a new approach using a single log-polar face template has been adopted to locate a face and its landmarks in a face image with varying scale and rotation parameters. The log-polar mapping which simulates space-variant human visual system converts scale change and rotation of input image into constant horizontal and cyclic vertical shift in the log-polar plane. The intelligent use of this property allows the proposed method to eliminate the need of using multiple templates to cover scale and rotation variations of faces and thus achieves efficient and reliable location of faces and facial landmarks.

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References

  1. R. Chellappa, C. L. Wilson, and S. Sirohey: Human and machine recognition of faces: A survey. Proc. of IEEE, vol. 83, no. 5, 1995.

    Google Scholar 

  2. R. Brunelli and T. Poggio: Face recognition: features versus templates. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 15, no. 10, pp. 1042–1052, 1993.

    Article  Google Scholar 

  3. B. Moghaddam and A. Pentland: Probabilistic visual learning for object representation. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 696–710, 1993.

    Article  Google Scholar 

  4. B. Takacs and H. Wechsler: Detection of faces and facial landmarks using iconic filter banks. Pattern Recognition, vol. 30, no. 10, pp. 1623–1636, 1997.

    Article  Google Scholar 

  5. R. A. Messner and H. H. Szu: An image processing architecture for real time generation of scale and rotation invariant patterns. Computer Vision, Graphics and Image Processing, vol. 31, pp. 50–66, 1985.

    Article  Google Scholar 

  6. B. Fischl, M. A. Cohen, and E. L. Schwartz: The local structure of space-variant images. Neural Networks, vol. 10, no. 5, pp. 815–831, 1997.

    Article  Google Scholar 

  7. N. Otsu: A Threshold selection method from gray-level histogram. IEEE Trans. Systems, Man, and Cybernetics, vol. SMC-9, no. 1, pp. 62–66, Jan. 1979.

    MathSciNet  Google Scholar 

  8. B. S. Srinivasa and B. N. Chatterji: An FFT-based Techniques for translation, rotation, and scale invariant image registration. IEEE Trans. Image Processing, vol. 5, no. 8, pp. 1266–1271, Aug. 1996.

    Article  Google Scholar 

  9. M. Tistarelli: Recognition by using an active/space-variant sensor. Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 833–837, June 1994.

    Google Scholar 

  10. D. Reisfeld, H. Wolfson, and Y. Yeshurun: Context-Free Attentional Operators: The Genarialized Symmetry Transform. Intl. Journal of Computer Vision, 14, pp. 119–130, 1995.

    Article  Google Scholar 

  11. S-H Lin, S-Y Kung, and L-J Lin: Face Recognition/Detection by Probabilistic Decision-Based Neural Network. IEEE Trans. Neural Networks, vol. 8, no. 1, pp. 114–132, Jan. 1997.

    Article  Google Scholar 

  12. K. Hotta, T. Kurita, and T. Mishima: Scale Invariant Face Detection Method using Higher-Order Local Autocorrelation Features extracted from Log-Polar Image. Proc. 2nd Intl. Conf. on Automatic Face and Gesture Recognition, pp. 70–75, April 14–16 1998.

    Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Chien, SI., Choi, I. (2000). Face and Facial Landmarks Location Based on Log-Polar Mapping. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_38

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  • DOI: https://doi.org/10.1007/3-540-45482-9_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67560-0

  • Online ISBN: 978-3-540-45482-3

  • eBook Packages: Springer Book Archive

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