Paper
27 February 2007 A real-time hierarchical rule-based approach for scale independent human face detection
Author Affiliations +
Proceedings Volume 6496, Real-Time Image Processing 2007; 64960P (2007) https://doi.org/10.1117/12.704657
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
In this paper, we present a scale independent automatic face location technique which can detect the locations of frontal human faces from images. Our hierarchical approach of knowledge-based face detection composed of three levels. Level 1 consists of a simple but effective eyes model that generates a set of rules to judge whether or not there exists a human face candidate in the current search area in a scale-independent manner and in a single scan of the image. To utilize this model, we define a new operator - extended projection and define two new concepts: single projection line and pair projection line. At level 2, an improved model of Yang's mosaic image model is applied to check the consistency of visual features with respect to the human face within each 3x3 blocks of a candidate face image. At the third level, we apply a SVM based face model, to eliminate the false positives obtained from level 2. Experimental results show the combined rule-based and statistical approach works well in detecting frontal human faces in uncluttered scenes.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Jiang and Horace H. S. Ip "A real-time hierarchical rule-based approach for scale independent human face detection", Proc. SPIE 6496, Real-Time Image Processing 2007, 64960P (27 February 2007); https://doi.org/10.1117/12.704657
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KEYWORDS
Facial recognition systems

Eye models

Eye

Image enhancement

Scanning probe lithography

Image processing

Image segmentation

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