Date of Award
5-2012
Degree Type
Report
Degree Name
Master of Science (MS)
Department
Computer Science
Committee Chair(s)
Xiaojun Qi
Committee
Xiaojun Qi
Committee
Curtis Dyreson
Committee
Stephen J. Allan
Abstract
This report proposes a face detection algorithm based on skin color modeling and support vector machine (SVM) classification. Said classification is based on various face features used to detect specific faces in an input color image. A YCbCr color space is used to filter the skin color pixels from the input color image. Template matching is used on the result with various window sizes of the template created from an ORL face database. The candidates obtained above, are then classified by SVM classifiers using the histogram of oriented gradients, eigen features, edge ratio, and edge statistics features.
Recommended Citation
Rajashekar, Swathi, "Composite Feature-Based Face Detection Using Skin Color Modeling and SVM Classification" (2012). All Graduate Plan B and other Reports, Spring 1920 to Spring 2023. 142.
https://digitalcommons.usu.edu/gradreports/142
Included in
Copyright for this work is retained by the student. If you have any questions regarding the inclusion of this work in the Digital Commons, please email us at .
Comments
This work made publicly available electronically on June 4, 2012.