Image Processing Thesis 2014

Image Processing Thesis 2014-28
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Its limited computational time makes FIRE particularly suitable for fast user verification on mobile devices...

This paper addresses the active and dynamic nature of biometrics, in general, and gaze analysis, in particular, including motivation and background.

Welcome to the Computer Vision Laboratory (CVL), part of the Department of Electrical engineer at Linköping University.

The research at CVL covers a wide range of topics within artificial visual systems (AVS): computational imaging, detection, tracking and recognition, geometry, robot vision and autonomous systems and medical imaging The design of AVS has its roots in the modelling of the human visual system (HVS); an extremely challenging task that generations of researchers have attempted with limited success.

gender and age classification, makeup detection), but also in the domain of image forensics, including source digital camera identification.

She has authored and co-authored 17 publications in journals and conference proceedings, and 1 book chapter on “Automatic Face Image Tagging in Large Collections”.

The flower recognition system based on image processing has been developed.

This system uses edge and color characteristics of flower images to classify flowers.

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