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» Monte Carlo Localization Using SIFT Features
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 2 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
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
IROS
2009
IEEE
144views Robotics» more  IROS 2009»
15 years 4 months ago
Improving particle filter performance using SSE instructions
Abstract— Robotics researchers are often faced with realtime constraints, and for that reason algorithmic and implementation-level optimization can dramatically increase the over...
Peter Djeu, Michael Quinlan, Peter Stone
CIVR
2007
Springer
199views Image Analysis» more  CIVR 2007»
15 years 3 months ago
New local descriptors based on dissociated dipoles
This paper describes new local photometric descriptors based on dissociated dipoles for transformed images or rigid objects retrieval. Dissociated dipoles are non local different...
Alexis Joly
ICIP
2010
IEEE
14 years 7 months ago
Multimedia forensic hash based on visual words
In recent years, digital images and videos have become increasingly popular over the internet and bring great social impact to a wide audience. In the meanwhile, technology advanc...
Wenjun Lu, Min Wu