frec is a service that builds a database of recognizable faces upon time.
frec uses the AT&T Database of Faces for testing the service. It is free and available to anyone and credit goes to AT&T Laboratories Cambridge.
frec is based on the incredible work done by Philipp Wagner in his facerec project.
frec draws on the work of many bright individuals. These are some papers and or reference work that helped us along the way:
- Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions - by Xiaoyang Tan and Bill Triggs
- Face Detection using LBP features - by Jo Chang-yeon
- Studies on Sensitivity of Face Recognition Performance to Eye Location Accuracy - Haoshu Wang - University of Notre Dame 2004
frec uses some math and these are articles that might help: