A Log-Polar Transformation Method for Face Recognition

Bin Qi; Yue Bao; Takayuki Nakata

doi:10.14864/softscis.2006.0.279.0

SCIS & ISIS 2006

Session ID : TH-B3-4

DOI https://doi.org/10.14864/softscis.2006.0.279.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

TH-B3 Biomimetic Machines and Robots (2)

A Log-Polar Transformation Method for Face Recognition

*Bin Qi, Yue Bao, Takayuki Nakata

Author information

Keywords: Log-Polar transform, face recognition, human vision

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

Log-Polar transform is an approximation model of human vision. If using it to recognize human faces, a reference point is necessary, and it influences the recognition accuracy directly. However, it is difficult to extract an appropriate reference point from an image automatically. This paper proposed a face recognition method that finds out the center of a face as a reference point of Log-Polar transform automatically. With this method, it is easier to recognize the faces by using Log-Polar transform.

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