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» Describing Visual Scenes Using Transformed Objects and Parts
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ICCV
1995
IEEE
15 years 3 months ago
Fast Object Recognition in Noisy Images Using Simulated Annealing
A fast simulatedannealingalgorithmis developed for automatic object recognition. The object recognition problem is addressed as the problem of best describing a match between a hy...
Margrit Betke, Nicholas C. Makris
84
Voted
EVOW
2008
Springer
15 years 1 months ago
Automatic Invention of Fitness Functions with Application to Scene Generation
We investigate the automatic construction of visual scenes via a hybrid evolutionary/hill-climbing approach using a correlationbased fitness function. This forms part of The Painti...
Simon Colton
VIS
2003
IEEE
247views Visualization» more  VIS 2003»
16 years 25 days ago
Shape Simplification Based on the Medial Axis Transform
We present a new algorithm for simplifying the shape of 3D objects by manipulating their medial axis transform (MAT). From an unorganized set of boundary points, our algorithm com...
Roger C. Tam, Wolfgang Heidrich
109
Voted
IJRR
2011
210views more  IJRR 2011»
14 years 6 months ago
Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
Visual and inertial sensors, in combination, are able to provide accurate motion estimates and are well-suited for use in many robot navigation tasks. However, correct data fusion...
Jonathan Kelly, Gaurav S. Sukhatme
ECCV
1994
Springer
16 years 1 months ago
Non-parametric Local Transforms for Computing Visual Correspondence
Abstract. We propose a new approach to the correspondence problem that makes use of non-parametric local transforms as the basis for correlation. Non-parametric local transforms re...
Ramin Zabih, John Woodfill