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ECCV
2010
Springer
13 years 11 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
PAMI
2007
129views more  PAMI 2007»
13 years 9 months ago
Algorithmic Differentiation: Application to Variational Problems in Computer Vision
Abstract— Many vision problems can be formulated as minimization of appropriate energy functionals. These energy functionals are usually minimized, based on the calculus of varia...
Thomas Pock, Michael Pock, Horst Bischof
AIPR
2008
IEEE
13 years 12 months ago
Low-cost, high-speed computer vision using NVIDIA's CUDA architecture
In this paper, we introduce real time image processing techniques using modern programmable Graphic Processing Units (GPU). GPUs are SIMD (Single Instruction, Multiple Data) device...
Seung In Park, Sean P. Ponce, Jing Huang, Yong Cao...
CVPR
2000
IEEE
14 years 12 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
ICTAI
2003
IEEE
14 years 3 months ago
Interactive Open Architecture Computer Vision
In this paper, design and implementation of an interactive open architecture computer vision software package called Ch OpenCV is presented. Benefiting from both Ch and OpenCV, C...
Qingcang Yu, Harry H. Cheng, Wayne W. Cheng, Xiaod...