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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
14 years 10 months ago
Multiobjective design of operators that detect points of interest in images
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
CVPR
2005
IEEE
15 years 11 months ago
ALIP: The Automatic Linguistic Indexing of Pictures System
In this demonstration, we present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such ter...
Jia Li, James Ze Wang
HRI
2011
ACM
14 years 1 months ago
Learning to interpret pointing gestures with a time-of-flight camera
Pointing gestures are a common and intuitive way to draw somebody’s attention to a certain object. While humans can easily interpret robot gestures, the perception of human beha...
David Droeschel, Jörg Stückler, Sven Beh...
CVPR
2007
IEEE
15 years 11 months ago
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
Sanja Fidler, Ales Leonardis
EC
2008
174views ECommerce» more  EC 2008»
14 years 9 months ago
Automated Design of Image Operators that Detect Interest Points
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
Leonardo Trujillo, Gustavo Olague