Date of Award
Master of Science (MS)
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.
Rajashekar, Swathi, "Composite Feature-Based Face Detection Using Skin Color Modeling and SVM Classification" (2012). All Graduate Plan B and other Reports. Paper 142.
Copyright for this work is retained by the student.