DocumentCode
685709
Title
Face detection using genetic based SIFT algorithm
Author
Mishra, Debahuti ; Chugh, Shaila
Author_Institution
Inf. Technol., Samrat Ashok Technol. Inst., Vidisha, India
fYear
2013
fDate
12-14 Dec. 2013
Firstpage
276
Lastpage
281
Abstract
Face detection is a technique of detecting any face from a set of images. Face can be detected on the basis of features of the face such as pose, height, width etc. Although there are various techniques implemented for the detection of faces such as face detection using neural networks, but the features extracted using neural network is not sufficient and has low accuracy. Hence in this paper an efficient proposed technique is implemented using genetic algorithm and SIFT algorithm. Genetic algorithm is first applied and then SIFT algorithm is applied for the feature extraction which may result in a better accuracy.
Keywords
face recognition; feature extraction; genetic algorithms; neural nets; object detection; principal component analysis; transforms; PCA; face detection; face recognition system; feature extraction; genetic based SIFT algorithm; neural networks; principal component analysis; scale invariant feature transform; Accuracy; Face; Face detection; Face recognition; Feature extraction; Genetic algorithms; Neural networks; Face recognition; Genetic algorithm; PCA; Sift feature;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing, Communication and Conservation of Energy (ICGCE), 2013 International Conference on
Conference_Location
Chennai
Type
conf
DOI
10.1109/ICGCE.2013.6823444
Filename
6823444
Link To Document