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CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 9 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...
AAAI
1998
13 years 10 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
CIVR
2007
Springer
273views Image Analysis» more  CIVR 2007»
14 years 3 months ago
Scalable near identical image and shot detection
This paper proposes and compares two novel schemes for near duplicate image and video-shot detection. The first approach is based on global hierarchical colour histograms, using ...
Ondrej Chum, James Philbin, Michael Isard, Andrew ...
CVPR
2012
IEEE
11 years 11 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
ECCV
2006
Springer
14 years 1 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar