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» Learning Visual Invariance
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3DPVT
2004
IEEE
119views Visualization» more  3DPVT 2004»
14 years 2 days ago
Synthetic Image of Multiresolution Sketch Leads to New Features
A new approach to construction of robust features is proposed and applied to an instance of the correspondence problem. The main idea is to construct a synthetic image by a multir...
Georgii Khachaturov, Rafael Moncayo-Muños
DAS
2008
Springer
13 years 10 months ago
Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval
In this paper we present an adaptive method for graphic symbol representation based on shape contexts. The proposed descriptor is invariant under classical geometric transforms (r...
T.-O. Nguyen, Salvatore Tabbone, Oriol Ramos Terra...
IJCV
2008
241views more  IJCV 2008»
13 years 8 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
ESANN
2001
13 years 9 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
13 years 10 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