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ICIAP
2005
ACM
13 years 10 months ago
Markovian Energy-Based Computer Vision Algorithms on Graphics Hardware
This paper shows how Markovian segmentation algorithms used to solve well known computer vision problems such as motion estimation, motion detection and stereovision can be signiď¬...
Pierre-Marc Jodoin, Max Mignotte, Jean-Franç...
ICAPR
2005
Springer
13 years 10 months ago
Unsupervised Markovian Segmentation on Graphics Hardware
Abstract. This contribution shows how unsupervised Markovian segmentation techniques can be accelerated when implemented on graphics hardware equipped with a Graphics Processing Un...
Pierre-Marc Jodoin, Jean-François St-Amour,...
ISWC
2002
IEEE
13 years 10 months ago
Mediated Reality Using Computer Graphics Hardware for Computer Vision
Wearable, camera based, head–tracking systems use spatial image registration algorithms to align images taken as the wearer gazes around their environment. This allows for compu...
James Fung, Felix Tang, Steve Mann
ICPR
2004
IEEE
14 years 6 months ago
Using Multiple Graphics Cards as a General Purpose Parallel Computer : Applications to Computer Vision
Pattern recognition and computer vision tasks are computationally intensive, repetitive, and often exceed the capabilities of the CPU, leaving little time for higher level tasks. ...
James Fung, Steve Mann
ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Using graphics devices in reverse: GPU-based Image Processing and 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