Face Recognition using Classified Appearance-based Quotient Image
[Abstract]
We propose a new method for synthesizing an illumination
normalized image from a face image including diffuse
reflection, specular reflection, attached shadow and cast
shadow. The method is derived from the Self-Quotient Image
(SQI) [14] which is defined by the ratio of albedo at the
pixel value to a locally smoothed pixel value. However, the
SQI is not synthesized from an image containing shadows
or specular reflections. Since these regions correspond to
areas of high or low albedo, they cannot be discriminated
from diffuse reflection by using only a single image. To classify
the appearances, we utilize a simple model defined by
a number of basis images which represent diffuse reflection
on a generic face. Through experimental results we show
the effectiveness of this method for face identification on the
Yale Face Database B and on a real-world database, using
only a single image for each individual in training.
[Publications]
- Masashi Nishiyama, Tatsuo Kozakaya, and Osamu Yamaguchi,
Illumination Normalization using Quotient Image-based Techniques,
Recent Advances in Face Recognition edited by K. Delac, M. Grgic and M. S. Bartlett, Chapter 8,
pp. 97 - 108, I-Tech Education and Publishing,
December 2008.
- Masashi Nishiyama, and Osamu Yamaguchi,
Face Recognition Using the Classified Appearance-based Quotient Image,
Proceedings of 7th IEEE International Conference on Automatic Face and Gesture
Recognition (FG), pp. 49 - 54, April 2006.
[Publication (Japanese) ]
