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» Situation Recognition: Representation and Algorithms
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ICIP
2000
IEEE
14 years 1 months ago
Hough Technique for Bar Charts Detection and Recognition in Document Images
Charts are common graphic representation for scientific data in technical and business papers. We present a robust system for detecting and recognizing bar charts. The system incl...
Yan Ping Zhou, Chew Lim Tan
ICCV
2003
IEEE
14 years 10 months ago
Recognition with Local Features: the Kernel Recipe
Recent developments in computer vision have shown that local features can provide efficient representations suitable for robust object recognition. Support Vector Machines have be...
Christian Wallraven, Barbara Caputo, Arnulf B. A. ...
CVIU
2006
171views more  CVIU 2006»
13 years 8 months ago
Free viewpoint action recognition using motion history volumes
Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
PRL
2000
76views more  PRL 2000»
13 years 8 months ago
Road sign classification using Laplace kernel classifier
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human ...
Pavel Paclík, Jana Novovicová, Pavel...