NPD Face Detector Training

Hits
6122
Programming Language
Operating System
References
Shengcai Liao, Anil K. Jain, and Stan Z. Li, "A Fast and Accurate Unconstrained Face Detector," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 (Accepted).
Linux-desktop
Windows-desktop
Rating
★★★★★
1 vote
This MATLAB package provides the Deep Quadratic Tree (DQT) and the Normalized Pixel Difference (NPD) based face detector training method proposed in our PAMI 2015 paper. It is fast, and effective for unconstrained face detection. For more details, please visit http://www.cbsr.ia.ac.cn/users/scliao/projects/npdface/.
OpenPR - Open Pattern Recognition Project, Powered by National Laboratory of Pattern Recognition,Casia,P.R.C ;Joomla templates by SG web hosting;Customized by Jiang nan