NDLI: Face detection using genetic based SIFT algorithm

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2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE)

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Face detection using genetic based SIFT algorithm

Content Provider	IEEE Xplore Digital Library
Author	Mishra, D. Chugh, S.
Copyright Year	2013
Description	Author affiliation: Inf. Technol., Samrat Ashok Technol. Inst., Vidisha, India (Mishra, D.; Chugh, S.)
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.
Starting Page	276
Ending Page	281
File Size	415726
Page Count	6
File Format	PDF
e-ISBN	9781467361262
DOI	10.1109/ICGCE.2013.6823444
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-12
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Face recognition Neural networks Genetic algorithm Feature extraction Sift feature Face Face detection Genetic algorithms PCA
Content Type	Text
Resource Type	Article

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