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» Object recognition using graph spectral invariants
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ICIP
2000
IEEE
14 years 10 months ago
The Role of Massive Color Quantization in Object Recognition
Psychophysicalexperimentsinspire a more complete analysis of the effect of quantization on a modified version of the histogram indexing method of object recognition. We derivean e...
Signe Redfield, John G. Harris
PRL
2007
125views more  PRL 2007»
13 years 8 months ago
Combining color and spatial information for object recognition across illumination changes
One of the most widely used approaches in the context of object recognition across illumination changes consists in comparing the images by means of the intersection between invar...
Damien Muselet, Ludovic Macaire
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
14 years 1 months 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
ICIAP
2001
Springer
14 years 9 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
SAC
2010
ACM
14 years 3 months ago
Seal object detection in document images using GHT of local component shapes
Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal ...
Partha Pratim Roy, Umapada Pal, Josep Lladó...