Paper
19 January 2006 Robust face detection based on components and their topology
Lutz Goldmann, Ullrich Mönich, Thomas Sikora
Author Affiliations +
Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60771V (2006) https://doi.org/10.1117/12.643078
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lutz Goldmann, Ullrich Mönich, and Thomas Sikora "Robust face detection based on components and their topology", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771V (19 January 2006); https://doi.org/10.1117/12.643078
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Sensors

Facial recognition systems

Eye

Databases

Mouth

Nose

Pattern recognition

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