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IJPRAI
2002
97views more  IJPRAI 2002»
13 years 4 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
ICCV
2005
IEEE
13 years 10 months ago
Features for Recognition: Viewpoint Invariance for Non-Planar Scenes
We present a technique for local image representation that is invariant to viewpoint for scenes with arbitrary non-planar shape. We show that generic viewpoint invariance can be a...
Andrea Vedaldi, Stefano Soatto
IJON
2007
166views more  IJON 2007»
13 years 4 months ago
Kernel PCA for similarity invariant shape recognition
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...
Hichem Sahbi
SSIAI
2000
IEEE
13 years 9 months ago
Multi-Level Shape Recognition Based on Wavelet-Transform Modulus Maxima
In this paper we propose a new approach to shape recognition based on the wavelet transform modulus maxima. And apply it to the problem of content-based indexing and retrieval of ...
Faouzi Alaya Cheikh, Azhar Quddus, Moncef Gabbouj
VISUAL
2000
Springer
13 years 8 months ago
Shape Description for Content-Based Image Retrieval
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone