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» Covariant Derivatives and Vision
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ECCV
2006
Springer
14 years 6 months ago
Covariant Derivatives and Vision
Abstract. We describe a new theoretical approach to Image Processing and Vision. Expressed in mathemetical terminology, in our formalism image space is a fibre bundle, and the imag...
Todor Georgiev
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
CVPR
2005
IEEE
14 years 6 months ago
Feature Uncertainty Arising from Covariant Image Noise
Uncertainty estimates related to the position of image features are seeing increasing use in several computer vision problems. Many of these have been recast from standard least s...
R. Matt Steele, Christopher O. Jaynes
CVPR
2007
IEEE
14 years 6 months ago
Simultaneous Covariance Driven Correspondence (CDC) and Transformation Estimation in the Expectation Maximization Framework
This paper proposes a new registration algorithm, Covariance Driven Correspondences (CDC), that depends fundamentally on the estimation of uncertainty in point correspondences. Th...
Michal Sofka, Gehua Yang, Charles V. Stewart
CVPR
2008
IEEE
13 years 11 months ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...