A methodology for rapid illumination-invariant face recognition using image processing filters
Computer Vision and Image Understanding
An illumination normalization model for face recognition under varied lighting conditions
Pattern Recognition Letters
Lighting aware preprocessing for face recognition across varying illumination
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Face recognition technology and its real-world application
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
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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.