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ECCV
2008
Springer
14 years 10 months ago
An Experimental Comparison of Discrete and Continuous Shape Optimization Methods
Shape optimization is a problem which arises in numerous computer vision problems such as image segmentation and multiview reconstruction. In this paper, we focus on a certain clas...
Maria Klodt, Thomas Schoenemann, Kalin Kolev, Mare...
ECCV
2010
Springer
14 years 2 months ago
A Fast Dual Method for HIK SVM Learning
Histograms are used in almost every aspect of computer vi-4 4 sion, from visual descriptors to image representations. Histogram Inter-5 5 section Kernel (HIK) and SVM classifiers ...
ICPR
2004
IEEE
14 years 9 months ago
Graph Method for Generating Affine Moment Invariants
A general method of systematic derivation of affine moment invariants of any weights and orders is introduced. Each invariant is expressed by its generating graph. Techniques for ...
Jan Flusser, Tomás Suk
CVPR
2008
IEEE
14 years 10 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ICCV
2009
IEEE
15 years 1 months ago
A Global Perspective on MAP Inference for Low-Level Vision
In recent years the Markov Random Field (MRF) has become the de facto probabilistic model for low-level vision applications. However, in a maximum a posteriori (MAP) framework, ...
Oliver J. Woodford, Carsten Rother, Vladimir Kolmo...