@inproceedings{f03841eb4d1f4eb3bed75037841cb465,
title = "Automatic cheek detection in digital images",
abstract = "This paper deals with some problems of cheek detection in colour images. Authors reviewed the literature in this field and proposed a new effective method for cheek detection. A characteristic feature of the proposed method is the use of 13 essential face landmarks generated by a known face landmark detector. In the paper four methods from the literature and one{\textquoteright}s own method are described in detail. All these methods have been tested experimentally using a suitable face image database PUT. Preliminary tests showed the advantages of our method. Additionally we investigated the impact of head movements on the location detected cheeks. A small number of false cheek pixels lying outside the face contour and a small colour error caused by movements of the head predetermines the proposed method for further research and applications.",
author = "M. Frackiewicz and H. Palus and K. Radlak",
note = "Publisher Copyright: {\textcopyright} 2016 Taylor \& Francis Group, London.; 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015 ; Conference date: 19-10-2015 Through 21-10-2015",
year = "2016",
language = "English",
isbn = "9781138029262",
series = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",
publisher = "CRC Press/Balkema",
pages = "49--56",
editor = "Tavares, \{Joao Manuel R.S.\} and Jorge, \{R.M. Natal\}",
booktitle = "Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015",
}