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CVPR
2009
IEEE
15 years 2 months ago
Stereo Matching in the Presence of Sub-Pixel Calibration Errors
Stereo matching commonly requires rectified images that are computed from calibrated cameras. Since all under- lying parametric camera models are only approximations, calibratio...
Heiko Hirschmüller, Stefan K. Gehrig
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filt...
Zhenhua Guo, Lei Zhang, David Zhang
ICCV
2009
IEEE
13 years 5 months ago
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Geometric verification with RANSAC has become a crucial step for many local feature based matching applications. Therefore, the details of its implementation are directly relevant...
Torsten Sattler, Bastian Leibe, Leif Kobbelt
ICPR
2004
IEEE
14 years 8 months ago
To FRAME or not to FRAME in Probabilistic Texture Modelling?
The maximum entropy principle is a cornerstone of FRAME (Filters, RAndom fields, and Maximum Entropy) model considered at times as a first-ever step towards a universal theory of ...
Georgy L. Gimel'farb, Luc J. Van Gool, Alexey Zale...
COLCOM
2005
IEEE
14 years 1 months ago
Matching distributed systems to their environment using dissipative structures
In contrast to a large body of theoretical work on computer systems, distributed systems are not idealised constructions, unconstrained by physical world limitations. They must be...
Jim Dowling, Dominik Dahlem, Jan Sacha