Title :
Face detection using Haar-like features cascade and convolutional neural network
Author_Institution :
Res. Inst. of Intell. Comput. Syst., Ternopil Nat. Economic Univ., Ternopil, Ukraine
Abstract :
The paper presents the face detection approach which combines Haar-like features´ cascade for the face candidates´ search and the convolutional neural network for the final verification. The approach works in the near real -time mode with the extremely low false alarms rate.
Keywords :
Haar transforms; face recognition; neural nets; Haar-like features; convolutional neural network; face detection; low false alarms rate; Face detection; Haar-like features cascade; convolutional neural network;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on
Print_ISBN :
978-966-553-678-9
