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7589views
15 years 3 months ago
MATLAB and Octave Functions for Computer Vision and Image Processing
Great Matlab and Octave function implementation for hot computer vision algorithms such as Feature detection via Phase Congruency, Spatial feature detection, Non-maxima suppression...
P. D. Kovesi
FGR
2008
IEEE
286views Biometrics» more  FGR 2008»
14 years 2 months ago
Complementary computing for visual tasks: Meshing computer vision with human visual processing
We explore the opportunity to harness electroencephalograph (EEG) signals generated during human visual processing to enhance computer vision systems. We review the challenging ta...
Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric...
ICMCS
2008
IEEE
159views Multimedia» more  ICMCS 2008»
14 years 2 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
ISVC
2009
Springer
14 years 2 months ago
Combinatorial Preconditioners and Multilevel Solvers for Problems in Computer Vision and Image Processing
Abstract. Linear systems and eigen-calculations on symmetric diagonally dominant matrices (SDDs) occur ubiquitously in computer vision, computer graphics, and machine learning. In ...
Ioannis Koutis, Gary L. Miller, David Tolliver
SIGGRAPH
2010
ACM
13 years 6 months ago
Nonlinear disparity mapping for stereoscopic 3D
This paper addresses the problem of remapping the disparity range of stereoscopic images and video. Such operations are highly important for a variety of issues arising from the p...
Manuel Lang, Alexander Hornung, Oliver Wang, Steve...