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» Retrieving Objects Using Local Integral Invariants
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ICPR
2008
IEEE
14 years 9 months ago
Learning invariant region descriptor operators with genetic programming and the F-measure
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
Cynthia B. Pérez, Gustavo Olague
CIVR
2007
Springer
199views Image Analysis» more  CIVR 2007»
14 years 2 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
SIGIR
1996
ACM
14 years 1 days ago
Retrieval of Complex Objects Using a Four-Valued Logic
The aggregated structure of documents plays a key role in full-text, multimedia, and network Information Retrieval (IR). Considering aggregation provides new querying facilities a...
Thomas Rölleke, Norbert Fuhr
ECCV
2000
Springer
14 years 9 months ago
Color and Scale: The Spatial Structure of Color Images
Abstract. For grey-value images, it is well accepted that the neighborhood rather than the pixel carries the geometrical interpretation. Interestingly the spatial configuration of ...
Jan-Mark Geusebroek, Rein van den Boomgaard, Arnol...
ICCV
1999
IEEE
14 years 9 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe