Utah State University

Title

Composite Feature-Based Face Detection Using Skin Color Modeling and SVM Classification

Author

Swathi Rajashekar, Utah State University

Date of Award

2012

Degree Type

Report

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Xiaojun Qi

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.

Comments

This work made publicly available electronically on June 4, 2012.

Recommended Citation

Rajashekar, Swathi, "Composite Feature-Based Face Detection Using Skin Color Modeling and SVM Classification" (2012). All Graduate Plan B and other Reports. Paper 142.
http://digitalcommons.usu.edu/gradreports/142

6-4-2012