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» Model Selection Criteria in Computer Vision: Are They Differ...
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ICIP
2007
IEEE
14 years 1 months ago
Universal Camera Calibration with Automatic Distortion Model Selection
We present an optimized full scale automatic camera calibration approach which is both accurate and simple to implement. The method can be applied to a wide range of cameras equip...
Vitaly Orekhov, Besma R. Abidi, Christopher Broadd...
NIPS
1998
13 years 8 months ago
Computational Differences between Asymmetrical and Symmetrical Networks
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
Zhaoping Li, Peter Dayan
ICTAI
1992
IEEE
13 years 11 months ago
Automated Parameter Tuning in Stereo Vision Under Time Constraints
This paper presents a method for tuning parameters under a fixed time constraint for a general binocular stereo-vision algorithm. A major difficulty in stereo vision, as well as i...
Steven R. Schwartz, Benjamin W. Wah
ICCV
2009
IEEE
15 years 11 days ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
FORTEST
2008
13 years 9 months ago
From MC/DC to RC/DC: Formalization and Analysis of Control-Flow Testing Criteria
This paper describes an approach to the formalization of existing criteria used in computer systems software testing and proposes a new Reinforced Condition/Decision Coverage (RC/D...
Sergiy A. Vilkomir, Jonathan P. Bowen