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CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 6 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
ICIP
2007
IEEE
16 years 3 months ago
Dominant Color Structure Descriptor for Image Retrieval
-- A new Dominant Color Structure Descriptor (DCSD) is proposed in this paper. It is designed to provide an efficient way to represent both color and spatial structure information ...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung
ICIP
1997
IEEE
16 years 3 months ago
Wavelet features for statistical object localization without segmentation
This paper describes a new technique for statistical 3{D object localization. Local feature vectors are extracted for all image positions, in contrast to segmentation in classical...
Heinrich Niemann, Josef Pösl
ICPR
2004
IEEE
16 years 3 months ago
Enhancements for Local Feature Based Image Classification
Using local features with nearest neighbor search and direct voting obtains excellent results for various image classification tasks. In this work we decompose the method into its...
Daniel Keysers, Hermann Ney, Roberto Paredes, Tobi...
FTCGV
2007
104views more  FTCGV 2007»
15 years 1 months ago
Local Invariant Feature Detectors: A Survey
In this survey, we give an overview of invariant interest point detectors, how they evolved over time, how they work, and what their respective strengths and weaknesses are. We be...
Tinne Tuytelaars, Krystian Mikolajczyk