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» Enhancements for Local Feature Based Image Classification
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MVA
2002
175views Computer Vision» more  MVA 2002»
13 years 8 months ago
Augmented geophysical data interpretation through automated velocity picking in semblance velocity images
Velocity Picking is the problem of picking velocity-time pairs based on a coherence metric between multiple seismic signals. Coherence as a function of velocity and time can be ex...
J. Ross Beveridge, Charlie Ross, L. Darrell Whitle...
ICIP
2008
IEEE
14 years 10 months ago
Using sensor pattern noise for camera model identification
Sensor photo-response non-uniformity (PRNU) was introduced by Luk?as et al. [1] to solve the problem of digital camera sensor identification. The PRNU is the main component of a c...
Jessica J. Fridrich, Miroslav Goljan, Tomás...
ICIP
2010
IEEE
13 years 7 months ago
Semi-automatic motion based segmentation using long term motion trajectories
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...
Gary Baugh, Anil C. Kokaram
DSD
2010
IEEE
190views Hardware» more  DSD 2010»
13 years 9 months ago
Hardware-Based Speed Up of Face Recognition Towards Real-Time Performance
— Real-time face recognition by computer systems is required in many commercial and security applications because it is the only way to protect privacy and security in the sea of...
I. Sajid, Sotirios G. Ziavras, M. M. Ahmed
ICPR
2000
IEEE
14 years 10 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland