Multiresolution ARMA modeling of facial color images

Mehmet Celenk; Inad Al-Jarrah

doi:10.1117/12.467968

22 May 2002 Multiresolution ARMA modeling of facial color images

Mehmet Celenk, Inad Al-Jarrah

Proceedings Volume 4667, Image Processing: Algorithms and Systems; (2002) https://doi.org/10.1117/12.467968
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

Human face perception is the key to identify confirmation in security systems, video teleconference, picture telephony, and web navigation. Modeling of human faces and facial expressions for different persons can be dealt with by building a point distribution model (PDM) based on spatial (shape) information or a gray-level model (GLM) based on spectral (intensity) information. To avoid short-comings of the local modeling of PDM and GLM, we propose a new approach for recognizing human faces and discriminating expressions associated with them in color images. It is based on the Laplacian of Gaussian (LoG) edge detection, KL transformation, and auto-regressive moving average (ARMA) filtering. First, the KL transform is applied to the R, G, and B dimensions, and a facial image is described by its principal component. A LoG edge-detector is then used for line drawing schematic of a face. The resultant face silhouette is divided into 5 X 5 non-overlapping blocks, each of which is represented by the auto-regressive (AR) parameter vector a. The ensample average of a over the whole image is taken as the feature vector for the description of a facial pattern. Each face class is represented by such ensample average vector a. Efficacy of the ARMA model is evaluated by the non-metric similarity measure S equals a.b/a.b for two facial images whose feature vectors, and a and b, are the ensample average of their ARMA parameters. Our measurements show that the ARMA modeling is effective for discriminating facial features in color images, and has the potential of distinguishing the corresponding facial expressions.

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Mehmet Celenk and Inad Al-Jarrah "Multiresolution ARMA modeling of facial color images", Proc. SPIE 4667, Image Processing: Algorithms and Systems, (22 May 2002); https://doi.org/10.1117/12.467968

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KEYWORDS

Facial recognition systems

Systems modeling

Navigation systems

Databases

Image processing

Analytical research

Bismuth

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