DocumentCode
2025353
Title
Applying Two-Pixel Features to Face Detection
Author
Nissenboim, Ido ; Keren, Daniel ; Werman, Michael
Author_Institution
Comput. Sci. Dept., Univ. of Haifa, Haifa, Israel
fYear
2008
fDate
Nov. 30 2008-Dec. 3 2008
Firstpage
65
Lastpage
69
Abstract
We propose a "quick rejection" paradigm which is applied to face detection. The features we use are arguably the simplest possible: a threshold on the difference between the grey levels of two pixels. No negative examples are used for training; instead, we use a simple statistical model of natural images. The resulting features are easy to find, extremely fast to apply, and achieve a good detection rate.
Keywords
face recognition; feature extraction; statistical analysis; face detection; grey levels; pixel features; statistical model; Boosting; Computer science; Computer vision; Convolution; Detectors; Face detection; Humans; Internet; Pixel; Testing; fast image detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Image Technology and Internet Based Systems, 2008. SITIS '08. IEEE International Conference on
Conference_Location
Bali
Print_ISBN
978-0-7695-3493-0
Type
conf
DOI
10.1109/SITIS.2008.28
Filename
4725788
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