Results 281 to 290 of about 969,366 (339)
OS-CycleGAN: Modified CycleGAN-Based Descriptors for Optical and SAR Image Matching
Alireza Liaghat +4 more
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 1979
This correspondence describes research in the development of symbolic registration techniques directed toward the comparison of pairs of images of the same scene to ultimately generate descriptions of the changes in the scene. Unlike most earlier work in image registration, all the matching and analysis will be performed at a symbolic level rather than
K, Price, R, Reddy
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This correspondence describes research in the development of symbolic registration techniques directed toward the comparison of pairs of images of the same scene to ultimately generate descriptions of the changes in the scene. Unlike most earlier work in image registration, all the matching and analysis will be performed at a symbolic level rather than
K, Price, R, Reddy
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Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis, 1998
A crucial problem in image analysis is to construct efficient low-level representations of an image, providing precise characterization of features which compose it, such as edges and texture components. An image usually contains very different types of features, which have been successfully modelled by the very redundant family of 2D Gabor oriented ...
F. Bergeaud, S. Mallat
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A crucial problem in image analysis is to construct efficient low-level representations of an image, providing precise characterization of features which compose it, such as edges and texture components. An image usually contains very different types of features, which have been successfully modelled by the very redundant family of 2D Gabor oriented ...
F. Bergeaud, S. Mallat
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Efficient Image and Sentence Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Recently, the accuracy of image and sentence matching has been continuously improved by larger and larger models. However, such large models not only need huge storage space but also slow down inference speed, which are not very suitable for low-cost devices in real-world applications.
Yan, Huang, Yuming, Wang, Liang, Wang
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2012 UKSim 14th International Conference on Computer Modelling and Simulation, 2012
With the proliferation of Web services. It is imperative to minimize spamming and security risks. Spammers use software to automate the process of creating fake online accounts to be used later as a source of spam and illegal activities or simply to waste the resources of the website.
Hassan Hajjdiab, Ashraf Khalil
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With the proliferation of Web services. It is imperative to minimize spamming and security risks. Spammers use software to automate the process of creating fake online accounts to be used later as a source of spam and illegal activities or simply to waste the resources of the website.
Hassan Hajjdiab, Ashraf Khalil
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SPIE Proceedings, 1988
Improvements in the accuracy of repositioning patients in medical imaging systems during repeat examinations will allow a more precise measurement of the progress of the disease or treatment. The alignment task is normally carried out using a number of inadequate techniques varying from stereotatic frames, to a rigorous anatomical study of the organs ...
B. L. Dalton, G. du Boulay
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Improvements in the accuracy of repositioning patients in medical imaging systems during repeat examinations will allow a more precise measurement of the progress of the disease or treatment. The alignment task is normally carried out using a number of inadequate techniques varying from stereotatic frames, to a rigorous anatomical study of the organs ...
B. L. Dalton, G. du Boulay
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Image Matching using Weighted Graph Matching Algorithm
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021Graph matching (GM) is matching a collection of edges that has no common vertices in a graph. It is an essential problem in computer vision, biosciences, information technology, distributed control and facility allocation and has an important role in solving correspondence problems.
R Pavithra +2 more
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2021
The interpretation of the scene is a process of continuous cognition, so the information obtained from the image needs to be matched with the existing model that explains the scene. Matching can be done at the pixel level, the object level, or at a more abstract level (Prince 2012; Shapiro and Stockman 2001; Zhang 2017c).
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The interpretation of the scene is a process of continuous cognition, so the information obtained from the image needs to be matched with the existing model that explains the scene. Matching can be done at the pixel level, the object level, or at a more abstract level (Prince 2012; Shapiro and Stockman 2001; Zhang 2017c).
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2016
The correlation-based registration methods described in Chapter 23 are rigid in the sense that they provide for translation as the only form of geometric transformation and positioning is limited to whole pixel units. In this chapter we look at methods that are capable of registering a reference image under (almost) arbitrary geometric transformations,
Wilhelm Burger, Mark J. Burge
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The correlation-based registration methods described in Chapter 23 are rigid in the sense that they provide for translation as the only form of geometric transformation and positioning is limited to whole pixel units. In this chapter we look at methods that are capable of registering a reference image under (almost) arbitrary geometric transformations,
Wilhelm Burger, Mark J. Burge
openaire +1 more source