Share Email Print

Proceedings Paper

Robust face detection based on components and their topology
Author(s): Lutz Goldmann; Ullrich Mönich; Thomas Sikora
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 19 January 2006
PDF: 10 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771V (19 January 2006); doi: 10.1117/12.643078
Show Author Affiliations
Lutz Goldmann, Technical Univ. of Berlin (Germany)
Ullrich Mönich, Technical Univ. of Berlin (Germany)
Thomas Sikora, Technical Univ. of Berlin (Germany)

Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

© SPIE. Terms of Use
Back to Top