Moment invariants are popular descriptors for real valued functions. Their independence from certain transformations makes them a powerful tool for the recognition of patterns and shapes. It has recently been demonstrated that the basic ideas can also be transferred to vector valued functions. Vector moment invariants can be used to define and search for interesting flow structures. A generalization to three-dimensional vector valued functions so far has not been investigated at all. In this paper, we approach that problem. We introduce a definition of moments for three-dimensional vector fields and present how flow field invariants can be constructed from the normalization of the first order vector moment tensor
This paper aims to present a survey of object recognition/classification methods based on image mome...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Moments and functions of moments have been extensively employed as invariant global features of imag...
The analysis of 2D flow data is often guided by the search for char- acteristic structures with sema...
he analysis of 2D flow data is often guided by the search for characteristic structures with semanti...
Figure 1: The similarity of the underlying field to the counter oriented double vortex is encoded in...
Abstract—The analysis of 2D flow data is often guided by the search for characteristic structures wi...
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of ...
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of ...
The goal of this thesis is the development of a fast and robust algorithm that is able to detect pat...
Complex moments have been successfully applied to pattern detection tasks in two-dimensional real, c...
The analysis of time-dependent data is often guided by the question of how dominant structures de-ve...
Complex moments have been successfully applied to pattern detection tasks in two-dimensional real, c...
Moment invariants are important shape descriptors in computer vision. In this paper, we give a gener...
This PhD-Thesis deals with the calculation and application of a new class of invariants, that can be...
This paper aims to present a survey of object recognition/classification methods based on image mome...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Moments and functions of moments have been extensively employed as invariant global features of imag...
The analysis of 2D flow data is often guided by the search for char- acteristic structures with sema...
he analysis of 2D flow data is often guided by the search for characteristic structures with semanti...
Figure 1: The similarity of the underlying field to the counter oriented double vortex is encoded in...
Abstract—The analysis of 2D flow data is often guided by the search for characteristic structures wi...
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of ...
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of ...
The goal of this thesis is the development of a fast and robust algorithm that is able to detect pat...
Complex moments have been successfully applied to pattern detection tasks in two-dimensional real, c...
The analysis of time-dependent data is often guided by the question of how dominant structures de-ve...
Complex moments have been successfully applied to pattern detection tasks in two-dimensional real, c...
Moment invariants are important shape descriptors in computer vision. In this paper, we give a gener...
This PhD-Thesis deals with the calculation and application of a new class of invariants, that can be...
This paper aims to present a survey of object recognition/classification methods based on image mome...
[[abstract]]©1993 Elsevier-Moment invariants have been frequently used as features for shape recogni...
Moments and functions of moments have been extensively employed as invariant global features of imag...