Paper
21 September 2001 Face detection by quadratic Gabor filter on feature inertia surface and its verification by modified retinal model
Lihong Ma, Yu Zhang
Author Affiliations +
Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441442
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
This paper presents s new scheme for face localization in a complex background. A Difference Offset of Gaussian filter is first introduced to calculate a feature inertia surface of an image. Then skeletonization on the inertia surface is carried out by a combination of fast construction of Euclidean Distance Maps and morphological operations. After that, face regions in this resulting skeleton image are detected by a quadratic Gabor filter, and its face trueness of each located area is verified by a modified retinal model. Experiments in practical applications have shown its feasibility.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lihong Ma and Yu Zhang "Face detection by quadratic Gabor filter on feature inertia surface and its verification by modified retinal model", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441442
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KEYWORDS
Image filtering

Facial recognition systems

Gaussian filters

Statistical modeling

Image segmentation

Chromium

Data modeling

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