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» Indexing Based on Scale Invariant Interest Points
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GECCO
2008
Springer
239views Optimization» more  GECCO 2008»
13 years 6 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,...
BMVC
2002
13 years 7 months ago
Invariant Features from Interest Point Groups
This paper approaches the problem of finding correspondences between images in which there are large changes in viewpoint, scale and illumination. Recent work has shown that scale...
Matthew Brown, David G. Lowe
ICIP
2003
IEEE
14 years 7 months ago
Fast indexing for image retrieval based on local appearance with re-ranking
This paper describes an approach to retrieve images containing specific objects, scenes or buildings. The image content is captured by a set of local features. More precisely, we ...
Hao Shao, Tomás Svoboda, Vittorio Ferrari, ...
RIAO
2000
13 years 6 months ago
Image indexation and content based search using pre-attentive similarities
We introduce in this paper the general architecture of an image search engine based on pre-attentive similarities. The components of this system are presented and some of them are...
Alexander Heinrichs, Dimitri Koubaroulis, Barbara ...
CVPR
2010
IEEE
13 years 10 months ago
Dense Interest Points
Local features or image patches have become a standard tool in computer vision, with numerous application domains. Roughly speaking, two different types of patchbased image repres...
Tinne Tuytelaars