Automatic facial pattern extraction from color images using knowledge-based multistep filtering technique

Demas S.E.F. Sanger; Hideaki Haneishi; Yoichi Miyake

doi:10.1117/12.217390

22 August 1995 Automatic facial pattern extraction from color images using knowledge-based multistep filtering technique

Demas S.E.F. Sanger, Hideaki Haneishi, Yoichi Miyake

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Proceedings Volume 2564, Applications of Digital Image Processing XVIII; (1995) https://doi.org/10.1117/12.217390
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

The paper described a technique for extracting the facial patterns from color images recorded in different imaging media. First, we extracted the skin-color pixels on the basis of statistical probability analysis of ellipsoid distributions of skin-color pixels' hue and saturation in the lightness intervals. The skin-color regions were segmented and labeled by applying the techniques of binary digital image processing. We observed 20 values of mensuration pattern variables in each region. The facial patterns were extracted from skin-color regions by evaluating their pattern variable values using the knowledge-based multistep filtering technique. This technique could extract the facial patterns from color images simply and automatically as verified by the experimental results. It is significant for operations or systems where locating and detecting the facial pattern are critical important.

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Demas S.E.F. Sanger, Hideaki Haneishi, and Yoichi Miyake "Automatic facial pattern extraction from color images using knowledge-based multistep filtering technique", Proc. SPIE 2564, Applications of Digital Image Processing XVIII, (22 August 1995); https://doi.org/10.1117/12.217390

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KEYWORDS

Image segmentation

Skin

Binary data

Image filtering

Optical filters

Video

Feature extraction

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