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» A Scale Invariant Local Image Descriptor for Visual Homing
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 8 days 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
VISUALIZATION
2005
IEEE
14 years 1 months ago
Scale-Invariant Volume Rendering
As standard volume rendering is based on an integral in physical space (or “coordinate space”), it is inherently dependent on the scaling of this space. Although this dependen...
Martin Kraus
PAMI
2012
11 years 10 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...
ICPR
2010
IEEE
13 years 10 months ago
An RST-Tolerant Shape Descriptor for Object Detection
In this paper, we propose a new object detection method that does not need a learning mechanism. Given a hand-drawn model as a query, we can detect and locate objects that are sim...
Chih-Wen Su, Mark Liao, Yu-Ming Liang, Hsiao-Rong ...
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
13 years 9 months ago
MyPlaces: detecting important settings in a visual diary
We describe a novel approach to identifying specific settings in large collections of passively captured images corresponding to a visual diary. An algorithm developed for setting...
Michael Blighe, Noel E. O'Connor