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par deerolet
Publié: 9 juin 2022 (il y a 3 semaines)
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10 Particle Image Velocimetry Methods and Systems.
Nov 30, 2021
J Hu
Abstract: Particle image velocimetry (PIV) is a powerful tool for flow visualization. It is mainly used to extract velocity field for parallel flow. However, it is always much .
Similarity Registration Key
The Numerical Imaging Group, University of Manchester .
Mar 13, 2020
J A Chow
Abstract: Image registration is a fundamental problem in computer vision and computer graphics. This paper presents a novel formulation of image registration using the global pattern structure. The image is registered by .
Abstract: We demonstrate that, under certain conditions, a large class of geometrically applicable similarity measures can be interpreted as detecting the eigenspaces of generalized eigenspaces of two associated matrices. We then .
Similarity Registration Key
Mar 30, 2020
Other General Similarity Measures
Nov 19, 2019
J Jelle
Abstract: Comparison between two images is used for many purposes, and especially for image registration algorithms. Several similarity measures .
by J. Lv
2008
Cited by 0
Abstract: Image registration is a critical step in many image processing applications. In this paper, we propose a new method for multi-modal image registration based on the .
Abstract: Large 2D images are commonly reduced to one or several small objects so that similarity can be used for image registration .
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INRM++ Image Registration Software ( c )
Oct 17, 2019
A Karabotsos
Abstract: In this paper, we present a novel and efficient image registration algorithm that is based on cluster similarity and .
by K Karabotsos
2007
Cited by 1
Abstract: We present a new approach for online image registration which can dynamically adjust and save the user’s registration parameters.  .
by J Pech
1997
Cited by 0
Abstract: Image registration is an important research area in computer vision and computer graphics with many applications in real life such as feature-based image retrieval .
Similarity Registration Key
Practical Locality-Constrained Linear Meshes for Rigid and Non-rigid registration
Oct 28, 2019
J Hu
Abstract: Locality-constrained linear approximation (LCLA) is a popular approach for generating automatic meshes of non-rigid data .
Abstract:

 

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