Title :
A human face detection system based on Schneiderman-Kanade method
Author :
Setyawan, Iwan ; Wibowo, Yohan ; Timotius, Ivanna K. ; Febrianto, Andreas A.
Author_Institution :
Dept. of Electron. Eng., Satya Wacana Christian Univ., Salatiga, Indonesia
Abstract :
Face detection is a computer technology that determines the locations and sizes of human faces in arbitrary (digital) images. It detects facial features and ignores anything else, such as buildings, trees and other parts of the body. In this paper, we present a face detection system based on the Schneiderman-Kanade method. This system is trained using visual attributes extracted from training samples.
Keywords :
face recognition; feature extraction; learning (artificial intelligence); Schneiderman-Kanade method; arbitrary images; computer technology; digital images; facial feature detection; human face detection system; visual attribute extraction; Detectors; Face; Face detection; Humans; Training; Visualization; Wavelet transforms; Face Detection; Pattern Recognition; Wavelet Transforms;
Conference_Titel :
Telecommunication Systems, Services, and Applications (TSSA), 2011 6th International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4577-1441-2
DOI :
10.1109/TSSA.2011.6095395
