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» Retrieving Objects Using Local Integral Invariants
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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
2007
ACM
14 years 9 months ago
Transformation invariant SOM clustering in Document Image Analysis
In this paper, we propose the combination of the Self Organizing Map (SOM) and of the tangent distance for effective clustering in Document Image Analysis. The proposed model (SOM...
Simone Marinai, Emanuele Marino, Giovanni Soda
ICIP
1998
IEEE
14 years 10 months ago
Direct Computation of Differential Invariants of Image Contours from Shading
In this paper we present a framework combining differential geometry and scale-space to show that local geometric invariants of image contours such as tangent, curvature and deriv...
Liangyin Yu, Charles R. Dyer
TIP
2010
97views more  TIP 2010»
13 years 3 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
VISUALIZATION
2005
IEEE
14 years 2 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