DocumentCode
2216035
Title
Sensitivity evaluation of SNoW and SVM based face detection methods
Author
Liu, Jialin ; Rautiainen, Mika ; Ojala, Timo
Author_Institution
MediaTeam Oulu Group, Oulo Univ.
fYear
0
fDate
0-0 0
Abstract
This paper studies the performance sensitivity of the variations in different factors on SNoW and SVM based face detection techniques. These factors include combinations of training set, pixel transitions in sliding window, pre-processing methods (rotation, scaling, light correction, masking filter), and bootstrapping in negative training patterns. It was found that performance of the two detection methods is significantly sensitive to these factors
Keywords
face recognition; sensitivity; support vector machines; SNoW based face detection; SVM based face detection; negative training patterns; performance sensitivity; pixel transitions; preprocessing methods; sensitivity evaluation; sliding window; training set; Face detection; Filters; Histograms; Image databases; Lighting; Performance evaluation; Pixel; Snow; Support vector machines; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Multi-Media Modelling Conference Proceedings, 2006 12th International
Conference_Location
Beijing
Print_ISBN
1-4244-0028-7
Type
conf
DOI
10.1109/MMMC.2006.1651367
Filename
1651367
Link To Document