Thesis Details
Aplikace algoritmu AdaBoost
Basics of classification and pattern recognitions will be mentioned in this work. We will focus mainly on AdaBoost algorithm, which serves to create a strong classifier function by some weak classifiers. We shall get acquainted with some modifications of AdaBoost. These modifications improve some of AdaBoost attributes. We shall also look into weak classifiers and features applicable to them. We shall especially look into the Haar- likes features. We shall discus possibilities of using the mentioned algorithms and features in facial expression recognition. We shall describe the situation between facial expression databases. We shall draw out a possible implementation of application of facial expression recognition.
Classification, pattern recognition, Neural nets, AdaBoost, Haar-like features, Gabor wavelet, facial expression recognition, classifier, OpenCV
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Lukáš Roman, Ing., Ph.D. (DIFS FIT BUT), člen
Ráček Jaroslav, RNDr., Ph.D. (FI MUNI), člen
Vojnar Tomáš, prof. Ing., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT6855, author = "Vladim\'{i}r Wrhel", type = "Bachelor's thesis", title = "Aplikace algoritmu AdaBoost", school = "Brno University of Technology, Faculty of Information Technology", year = 2008, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/6855/" }