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Robust Face Detection Based on Components and Their Topology
Citation key 0041Goldmann2006
Author Lutz Goldmann and Ullrich Moenich and Thomas Sikora
Title of Book Visual Communications and Image Processing (VCIP), IS&T/SPIE's Electronic Imaging 2006
Year 2006
DOI 10.1117/12.643078
Address San Jose, CA, USA
Month jan
Abstract This paper presents a novel approach for automatic and robust object detection. It utilizes a component-based approach that combines techniques from both statistical and structural pattern recognition domain. While the component detection relies on Haar-like features and an AdaBoost trained classifier cascade, the topology verification is based on graph matching techniques. The system was applied to face detection and the experiments show its outstanding performance in comparison to other face detection approaches. Especially in the presence of partial occlusions, uneven illumination and out-of-plane rotations it yields higher robustness.
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