Face and Nose Detection in Digital Images using Local Binary Patterns (CROSBI ID 638168)
Prilog sa skupa u zborniku | stručni rad | međunarodna recenzija
Podaci o odgovornosti
Kružić, Stanko ; Papić, Vladan
engleski
Face and Nose Detection in Digital Images using Local Binary Patterns
This paper describes an approach to object detection based on Viola-Jones algorithm and LBP histogram. LBP is used on sub-windows of the input image to obtain LBP feature histogram, from which small number of key visual features is extracted using machine learning algorithm based on AdaBoost. The final decision if image contains the object is training cascade of classifiers which rejects the negative sub-windows quickly and use processor time for those sub-windows which are have higher probability for containing the object in question.
AdaBoost ; cascade of classifiers ; classifier ; detector ; face detection ; object detection
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Podaci o prilogu
2016.
objavljeno
Podaci o matičnoj publikaciji
2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech 2016)
Split: Fakultet elektrotehnike, strojarstva i brodogradnje Sveučilišta u Splitu
978-953-290-060-6
Podaci o skupu
International Multidisciplinary Conference on Computer and Energy Science (Splitech2016)
predavanje
13.07.2016-15.07.2016
Split, Hrvatska