Eye detection using a deformable template in static images

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Fernando Jorge Soares Carvalho (Author) Other; João Manuel Ribeiro da Silva Tavares (Author) FEUP

Conference proceedings International

Title: VIPimage 2007

Pages: 209-215

VIPimage - I ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Taylor & Francis, ISBN: 978-0-415-45777-4, Editors: João Manuel R. S. Tavares and R. M. Natal Jorge

Faculdade de Engenharia da Universidade do Porto, Porto, Portugal, 17-19 October 2007

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus - 4 Citations

Scientific classification

FOS: Engineering and technology > Mechanical engineering

CORDIS: Technological sciences > Technology > Medical technology

Other information

Authenticus ID: P-004-5KT

Abstract (EN): In this paper, we present a methodology that uses a deformable template to detect the human eye in static images. Geometrically, the used template is represented by two distinct entities: a circumference, that defines the iris contour; and two parabolas, one concave and other convex, that define respectively, the above and below contours of the eye. The geometrical shape of the used template is controlled by a set of eleven control parameters that allows its change in scale, position and orientation. To process the matching between the eye, represented in the input image, and the template used, we consider information obtained from four energy fields. Then, to process the dynamic update of the template parameters, we use an energy function, based on those energy fields, that characterizes the cost of the template deformation. During each of the seven processing phases, we search iteratively for the best combination parameters values that minimize the energy cost of the template deformation. In this paper, we illustrate the functionality of this method by presenting some experimental results, and present some conclusions and perspectives of future work as well.

Language: English

Type (Professor's evaluation): Scientific