DocumentCode
2559182
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
fYear
2011
fDate
20-21 Oct. 2011
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunication Systems, Services, and Applications (TSSA), 2011 6th International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4577-1441-2
Type
conf
DOI
10.1109/TSSA.2011.6095395
Filename
6095395
Link To Document