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A method for eye detection based on SVD transforms
Author(s) -
Danafar Somayeh,
Sheikh Leila Taghavi,
Targhi Alireza Tavakoli
Publication year - 2006
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20084
Subject(s) - artificial intelligence , computer vision , computer science , segmentation , orientation (vector space) , face (sociological concept) , set (abstract data type) , pattern recognition (psychology) , texture (cosmology) , eye tracking , image (mathematics) , mathematics , social science , geometry , sociology , programming language
A set of transforms (SVD transforms) were introduced in (Shahshahani and Tavakoli Targhi) for understanding images. These transforms have been applied to some problems in computer vision including segmentation, detection of objects in a texture environment, classification of textures, detection of cracks or other imperfections, etc. This technique is shown to be applicable to determination of the location of eyes in a facial image. This method makes no use of color cues, prior geometric knowledge or other assumptions and does not require training. It is also insensitive to local perturbations in lighting, change of orientation and pose, scaling, and complexity of the background including indoor and outdoor environments. The method can be used for eye tracking and has applications to face recognition. It has also been used in animal eye detection and differentiation. © 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 16, 222–229, 2006