The performance of the Haar Cascade Classifiers applied to the face and eyes detection

Adam Schmidt; Andrzej Kasiński

doi:10.1007/978-3-540-75175-5_101

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Title

The performance of the Haar Cascade Classifiers applied to the face and eyes detection

Authors

Adam Schmidt (WE) ^{[ 1 ][ P ]}
Andrzej Kasiński (WE) ^{[ 1 ][ P ]}

^{[ 1 ]} Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | ^{[ P ]} employee

Year of publication

2007

Chapter type

paper

Publication language

english

Abstract

EN Recently we have presented the hierarchical face and eye detection system based on Haar Cascade Classifiers. In this paper we focus on the optimization of detectors training. Moreover, we compare the performance of Lienhart’s face detectors [1] and Castrillon-Santana’s eyes detectors [2] with those which have been trained by us.

Pages (from - to)

816 - 823

DOI

10.1007/978-3-540-75175-5_101

URL

https://link.springer.com/chapter/10.1007/978-3-540-75175-5_101

Book

Computer Recognition Systems 2

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