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» Graph-Theoretical Methods in Computer Vision
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76
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ICPR
2008
IEEE
16 years 1 months ago
A probabilistic approach for tracking fibers
This paper describes a combination of an automated image acquisition method and a probabilistic tracking method for analysis of the 3D microstructure of a sheet of paper. A protot...
Horst Bischof, Johannes Kritzinger, Michael Donose...
CVPR
2006
IEEE
16 years 2 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
110
Voted
CVPR
2009
IEEE
1094views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Uncalibrated Synthetic Aperture Photography for Defocus Control
Exaggerated defocus cannot be achieved with an ordinary compact digital camera because of its tiny sensor size, so taking pictures that draw the attention of a viewer to the subjec...
Natsumi Kusumoto, Shinsaku Hiura, Kosuke Sato
CVPR
1996
IEEE
16 years 2 months ago
Combining greyvalue invariants with local constraints for object recognition
This paper addresses the problem of recognizing objects in large image databases. The method is based on local characteristics which are invariant to simzlarity transformations in...
Cordelia Schmid, Roger Mohr
ICPR
2006
IEEE
16 years 1 months ago
Fast Synthesis of Dynamic Colour Textures
Textural appearance of many real word materials is not static but shows progress in time. If such a progress is spatially and temporally homogeneous these materials can be represe...
Jirí Filip, Michal Haindl, Dmitry Chetverik...