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ECCV
1994
Springer
15 years 5 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
ICMCS
2007
IEEE
182views Multimedia» more  ICMCS 2007»
15 years 7 months ago
Computer Vision on Multi-Core Processors: Articulated Body Tracking
The recent emergence of multi-core processors enables a new trend in the usage of computers. Computer vision applications, which require heavy computation and lots of bandwidth, u...
Trista Pei-chun Chen, Dmitry Budnikov, Christopher...
MM
2005
ACM
215views Multimedia» more  MM 2005»
15 years 7 months ago
OpenVIDIA: parallel GPU computer vision
Graphics and vision are approximate inverses of each other: ordinarily Graphics Processing Units (GPUs) are used to convert “numbers into pictures” (i.e. computer graphics). I...
James Fung, Steve Mann
DICTA
2003
15 years 2 months ago
TLIB: A Real-time Computer Vision Library for HCI
A computer vision software library is a key component of vision-based applications. While there are several existing libraries, most are large and comple or limited to a particular...
Sébastien Grange, Terry Fong, Charles Baur
DAC
2011
ACM
14 years 1 months ago
EFFEX: an embedded processor for computer vision based feature extraction
The deployment of computer vision algorithms in mobile applications is growing at a rapid pace. A primary component of the computer vision software pipeline is feature extraction,...
Jason Clemons, Andrew Jones, Robert Perricone, Sil...