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» Content-based image retrieval by feature point matching
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CORR
2010
Springer
124views Education» more  CORR 2010»
14 years 10 months ago
Feature Level Fusion of Face and Fingerprint Biometrics
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extr...
Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bice...
SCIA
2005
Springer
220views Image Analysis» more  SCIA 2005»
15 years 3 months ago
Block-Based Methods for Image Retrieval Using Local Binary Patterns
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Valtteri Takala, Timo Ahonen, Matti Pietikäin...
ICPR
2004
IEEE
15 years 11 months ago
Deformable Geometry Model Matching by Topological and Geometric Signatures
In this paper, we present a novel method for efficient 3D model comparison. The method matches highly deformed models by comparing topological and geometric features. First, we pr...
Kwok-Leung Tam, Rynson W. H. Lau, Chong-Wah Ngo
ICMCS
2008
IEEE
330views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Automatic trademark detection and recognition in sport videos
In this paper we describe a system for automatic detection and recognition of trademarks in sports videos. We propose a compact representation of trademarks based on SIFT feature ...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
ICPR
2000
IEEE
15 years 10 months ago
Robust Dense Matching Using Local and Global Geometric Constraints
A new robust dense matching algorithm is introduced in this paper. The algorithm starts from matching the most textured points, then a match propagation algorithm is developed wit...
Maxime Lhuillier, Long Quan