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IJCV
2006
115views more  IJCV 2006»
13 years 7 months ago
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition
: Linear subspace analysis (LSA) has become rather ubiquitous in a wide range of problems arising in pattern recognition and computer vision. The essence of these approaches is tha...
Pei Chen, David Suter
PRL
2007
158views more  PRL 2007»
13 years 7 months ago
Stability and convergence of the level set method in computer vision
Several computer vision problems, like segmentation, tracking and shape modeling, are increasingly being solved using level set methodologies. But the critical issues of stability...
Kunal N. Chaudhury, K. R. Ramakrishnan
DAGM
2006
Springer
13 years 11 months ago
Linear vs. Nonlinear Feature Combination for Saliency Computation: A Comparison with Human Vision
In the heart of the computer model of visual attention, an interest or saliency map is derived from an input image in a process that encompasses several data combination steps. Whi...
Nabil Ouerhani, Alexandre Bur, Heinz Hügli
CVIU
2008
203views more  CVIU 2008»
13 years 7 months ago
A computer vision model for visual-object-based attention and eye movements
This paper presents a new computational framework for modelling visual-object based attention and attention-driven eye movements within an integrated system in a biologically insp...
Yaoru Sun, Robert B. Fisher, Fang Wang, Herman Mar...

Book
34534views
15 years 6 months ago
OpenCV - Open Source Computer Vision Reference Manual
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform. It is highl...
Intel