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DAGM
2000
Springer
13 years 9 months ago
Structured Covariance Matrices for Statistical Image Object Recognition
Abstract. In this paper we present di erent approaches to structuring covariance matrices within statistical classi ers. This is motivated by the fact that the use of full covarian...
Jörg Dahmen, Daniel Keysers, Michael Pitz, He...
ICPR
2010
IEEE
13 years 9 months ago
Object Tracking by Structure Tensor Analysis
Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
Michael Donoser, Stefan Kluckner, Horst Bischof
ECCV
2006
Springer
14 years 6 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
SSPR
2004
Springer
13 years 10 months ago
Structures of Covariance Matrix in Handwritten Character Recognition
The integrated approach is a classifier established on statistical estimator and artificial neural network. This consists of preliminary data whitening transformation which provide...
Sarunas Raudys, Masakazu Iwamura
ISCAS
2006
IEEE
154views Hardware» more  ISCAS 2006»
13 years 10 months ago
A novel Fisher discriminant for biometrics recognition: 2DPCA plus 2DFLD
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
R. M. Mutelo, Li Chin Khor, Wai Lok Woo, Satnam Si...