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» Geographic Image Retrieval Using Interest Point Descriptors
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ECCV
2006
Springer
14 years 7 months ago
Top-Points as Interest Points for Image Matching
We consider the use of top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well ...
Bram Platel, Evguenia Balmachnova, Luc Florack, Ba...
MVA
2010
248views Computer Vision» more  MVA 2010»
13 years 7 days ago
A comparative evaluation of interest point detectors and local descriptors for visual SLAM
Abstract In this paper we compare the behavior of different interest points detectors and descriptors under the conditions needed to be used as landmarks in visionbased simultaneou...
Arturo Gil, Óscar Martínez Mozos, M&...
DSSCV
2005
Springer
13 years 11 months ago
Using Top-Points as Interest Points for Image Matching
We consider the use of so-called top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offse...
Bram Platel, Evguenia Balmachnova, Luc Florack, Fr...
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,...
GIS
2010
ACM
13 years 4 months ago
CBGIR: content-based geographic image retrieval
We describe and demonstrate CBGIR, a web-based system for performing content-based image retrieval in large sets of high-resolution overhead images. The system provides a familiar...
Shawn Newsam, Daniel Leung, Oscar Caballero, Justi...