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» Randomness and Geometric Features in Computer Vision
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PAMI
2000
127views more  PAMI 2000»
13 years 7 months ago
Geometric Camera Calibration Using Circular Control Points
Modern CCD cameras are usually capable of a spatial accuracy greater than 1/50 of the pixel size. However, such accuracy is not easily attained due to various error sources that c...
Janne Heikkilä
CVPR
2010
IEEE
14 years 6 days ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
ICPR
2010
IEEE
13 years 9 months ago
Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features
Registration of point clouds is required in the processing of large biological data sets. The tradeoff between computation time and accuracy of the registration is the main challen...
Maja Temerinac-Ott, Margret Keuper, Hans Burkhardt
TIP
2002
147views more  TIP 2002»
13 years 7 months ago
Stochastic differential equations and geometric flows
In recent years, curve evolution, applied to a single contour or to the level sets of an image via partial differential equations, has emerged as an important tool in image process...
Gozde B. Unal, Hamid Krim, Anthony J. Yezzi
EMMCVPR
2001
Springer
14 years 6 days ago
Averaged Template Matching Equations
By exploiting an analogy with averaging procedures in fluid dynamics, we present a set of averaged template matching equations. These equations are analogs of the exact template m...
Anil N. Hirani, Jerrold E. Marsden, James Arvo