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» Genetic algorithms for object recognition in a complex scene
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RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
14 years 10 days ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki
SSIAI
2002
IEEE
14 years 1 months ago
Geometry-Based Automatic Object Localization and 3-D Pose Detection
Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on...
Marcus A. Magnor
ICPR
2008
IEEE
14 years 10 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
CVPR
2008
IEEE
14 years 10 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
SIGGRAPH
1999
ACM
14 years 1 months ago
Art-based Rendering of Fur, Grass, and Trees
Artists and illustrators can evoke the complexity of fur or vegetation with relatively few well-placed strokes. We present an algorithm that uses strokes to render 3D computer gra...
Michael A. Kowalski, Lee Markosian, J. D. Northrup...