Computer Vision, Deep Learning, Face Analysis, Biometrics, Low-level Vision, Audio-Visual Mod-eling, Image Forensic. Education Michigan State University, MI, USA Ph.D. Candidate in Computer Science, May 2016 - Feb. 2021 (Expected) Dissertation Title: \Face Anti-Spoo ng: Detection, Generalization, and Visualization" Advisor: Dr. Xiaoming Liu
Face detection system implemented to run under Matlab. Based on local Successive Mean Quantization Transform (SMQT) features and split up Sparse Network of Winnows (SNoW) classifier. Based on the paper: Face Detection using local SMQT features and split up SNoW classifier. See further information in readme.txt and license.txt in the zip-file.
The cascades themselves are just a bunch of XML files that contain OpenCV data used to detect objects. You initialize your code with the cascade you want, and then it does the work for you. Since face detection is such a common case, OpenCV comes with a number of built-in cascades for detecting everything from faces to eyes to hands to legs.