Fast distance vector field extraction for facial feature detection

Authors:
Wojciech Czarnecki;Szymon Gburek;Maciej Smiatacz
Affiliations:
Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland;Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland;Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gdańsk, Poland
Venue:
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Year:
2010

Citing 6
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Facial feature detection using distance vector fields

Pattern Recognition

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Abstract

This work is related to the method of facial feature detection based on distance vector fields (DVFs), recently proposed by Asteriadis et al. We briefly present the concept and describe improvements that we introduced to the original solution. The main advantages of our approach are the reduced computational complexity of the DVF extraction algorithm as well as the enhanced precision of the resultant vector field.