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Proceedings Paper

Multilevel Ising search for human face detection
Author(s): Kazuhiro Hotta; Masaru Tanaka; Takio Kurita; Taketoshi Mishima
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Paper Abstract

In this paper, a multilevel Ising search method for human face detection is proposed to speed up the search. In order to utilize the information obtained from the previous searched points. Ising model is adopted to represent the candidates of `face' positions and is combined with the scale invariant human face detection method. In the face detection, the distance from the mean vector of `face' class in discriminant space represents the likelihood of face. By integrating the measured distance into the energy function of Ising model as the external magnetic field, the search space is narrowed down effectively (the candidates of `face' are reduced). By incorporating color information of face region in the external magnetic field, the `face' candidates can be reduced further. In the multilevel Ising search, face candidates (spins) with different resolutions are represented in a Pyramidal structure and the coarse-to-fine strategy is taken. We demonstrate that the proposed multilevel Ising search method can effectively reduce the search space and can detect human face correctly.

Paper Details

Date Published: 1 October 1998
PDF: 12 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998);
Show Author Affiliations
Kazuhiro Hotta, Saitama Univ. (Japan)
Masaru Tanaka, Electrotechnical Lab. (Japan)
Takio Kurita, Electrotechnical Lab. (Japan)
Taketoshi Mishima, Saitama Univ. (Japan)

Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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