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		<citationkey>AmaralGiraThom:2015:StCoSp</citationkey>
		<title>Statistical and Cognitive Spatial Mapping Applied to Face Analysis</title>
		<format>On-line</format>
		<year>2015</year>
		<numberoffiles>1</numberoffiles>
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		<author>Amaral, Vagner,</author>
		<author>Giraldi, Gilson A.,</author>
		<author>Thomaz, Carlos E.,</author>
		<affiliation>Department of Electrical Engineering, Centro Universitário da FEI</affiliation>
		<affiliation>Department of Computer Science, LNCC</affiliation>
		<affiliation>Department of Electrical Engineering, Centro Universitário da FEI</affiliation>
		<editor>Rios, Ricardo Araujo,</editor>
		<editor>Paiva, Afonso,</editor>
		<e-mailaddress>vagner.net@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>Aug. 26-29, 2015</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Work in Progress</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>task driven, statistical, cognitive, LBP, face analysis.</keywords>
		<abstract>The natural process of pattern recognition has always played a key role in the species survival. For human beings the face recognition has become an essential tool in interpersonal relations and this subject always received attention in the computer vision area due to its applicability. It has been proposed recently, with promising results, a spatial mapping technique that highlights the most discriminating facial features employing some task driven information. The aim of this paper is to compare two distinct methods to define such spatial maps related to some recognition tasks. The first relies on statistical significant differences from the samples and the second on gaze data calculated from eye tracking experiments carried out.</abstract>
		<language>en</language>
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