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Motion estimation techniques for digital TV: a review and a new contribution
1995
Proceedings of the IEEE
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It leads to a robust motion field estimation, precise prediction along moving edges and a decreased amount of side information in uniform areas. ...
Furthermore, the algorithm controls the accuracy of the motion estimation procedure in order to optimally balance the amount of information corresponding to the prediction error and to the motion parameters ...
Popat, and the anonymous reviewers for providing valuable comments to improve this paper. ...
doi:10.1109/5.387089
fatcat:iank6n7wxnf4phm742xnr6xura
Adaptive perceptual color-texture image segmentation
2005
IEEE Transactions on Image Processing
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We propose a new approach for image segmentation that is based on low-level features for color and texture. ...
The performance of the proposed algorithms is demonstrated in the domain of photographic images, including low resolution, degraded, and compressed images. ...
In addition, we incorporate spatial constraints in the form of Markov random fields (MRFs). ...
doi:10.1109/tip.2005.852204
pmid:16238058
fatcat:rjetvje6n5doldjcgntib3rxva
Adaptive perceptual color-texture image segmentation
2006
SPIE Newsroom
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We propose a new approach for image segmentation that is based on low-level features for color and texture. ...
The performance of the proposed algorithms is demonstrated in the domain of photographic images, including low resolution, degraded, and compressed images. ...
In addition, we incorporate spatial constraints in the form of Markov random fields (MRFs). ...
doi:10.1117/2.1200602.0016
fatcat:yutqnmgk7fdcbh5zewy75ejj7u
Contour Detection and Hierarchical Image Segmentation
2011
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper investigates two fundamental problems in computer vision: contour detection and image segmentation. We present state-of-the-art algorithms for both of these tasks. ...
The automatically generated hierarchical segmentations can be interactively refined by userspecified annotations. ...
From Left to Right: Image, Ultrametric Contour Map (UCM) produced by gP b-owt-ucm, and segmentations obtained by thresholding at the optimal dataset scale (ODS) and optimal image scale (OIS). ...
doi:10.1109/tpami.2010.161
pmid:20733228
fatcat:c47s6auyo5ed7fmokndi7jzi2e
Exactly Sparse Delayed-State Filters for View-Based SLAM
2006
IEEE Transactions on robotics
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This paper reports the novel insight that the simultaneous localization and mapping (SLAM) information matrix is exactly sparse in a delayed-state framework. ...
The approach is validated experimentally using monocular imagery for two datasets: a test-tank experiment with ground truth, and a remotely operated vehicle survey of the RMS Titanic. ...
Whitcomb and Dr. J. Kinsey, for their collaboration in collecting the JHU tank dataset. They are also grateful to Dr. R. Ballard for providing them with the RMS Titanic dataset. ...
doi:10.1109/tro.2006.886264
fatcat:phnwrgmlafhf3j7jnqwzxn24t4
A combined local and global motion estimation and compensation method for cardiac CT
2014
Medical Imaging 2014: Physics of Medical Imaging
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Many penalty terms have been proposed like q-generalized Gaussian Markov random fields,total variation (TV) and Huber penalty or other anisotropic filters. ...
clinical data, independent of modality (MRI/ CT), dimensionality (2D/3D) and employed primary registration method (demons/Markov random field based).
9034-47, Session 9 A rib-specific multimodal registration ...
FTIR chemical imaging allows the spatial distribution of chemistry to be rapidly imaged at a high (diffraction limited) spatial resolution where a pixel represents an area of 5.5 ? 5.5 µm2 of tissue. ...
doi:10.1117/12.2043492
fatcat:fyzpc5m6jbh7fjohqpdmtzkhte
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
2018
NeuroImage
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Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. NeuroImage. 183:150-172. ...
paper, we coordinated with colleagues around the world to evaluate automated cerebellum parcellation algorithms on two clinical cohorts showing that the cerebellum can be parcellated to a high accuracy by ...
Acknowledgments 760 The data collection and labeling of the cerebellum was supported in part by the NIH/NINDS grant R01 NS056307 (PI: J.L. Prince) and NIH/NIMH grants R01 ...
doi:10.1016/j.neuroimage.2018.08.003
pmid:30099076
pmcid:PMC6271471
fatcat:pnr3a7ezxbb73d55hrkmmusory
LIBSVX: A Supervoxel Library and Benchmark for Early Video Processing
2016
International Journal of Computer Vision
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2015 pre-print arXiv:1512.09049v1 fatcat:mcgthujnmfcmho7rove537dmya
Supervoxel segmentation has strong potential to be incorporated into early video analysis as superpixel segmentation has in image analysis. ...
Our findings have led us to conclusive evidence that the hierarchical graph-based (GBH), segmentation by weighted aggregation (SWA) and temporal superpixels (TSP) methods are the top-performers among the ...
Acknowledgements This work was partially supported by the National Science Foundation CAREER grant (IIS-0845282), the Army Research Office (W911NF-11-1-0090) and the DARPA Mind's Eye program (W911NF-10 ...
doi:10.1007/s11263-016-0906-5
fatcat:u3mcxsip5reqloclawvoqly4ty
A Survey of Methods for 3D Histology Reconstruction
2018
Medical Image Analysis
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We finally attempt to identify the trends and challenges that the field is facing, many of which are derived from the cross-disciplinary nature of the problem as it involves the collaboration between physicists ...
We then successively describe methods for 3D histology recontruction without and with the help of 3D medical imaging. ...
Smriti Patodia, from UCL Institute of Neurology (Department of Neuropathology), for her comments on Section 2 and the images used in Figures ...
doi:10.1016/j.media.2018.02.004
pmid:29502034
fatcat:ta5hlvqjpzenxhltfwh6p4mhqq
Parallel computing works!
1996
IEEE Parallel & Distributed Technology Systems & Applications
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Monte Carlo algorithms typically begin with some initial configuration of fields, and then make pseudo-random changes on the fields such that the ultimate probability P of generating a particular field ...
Part C is a similar plot of the image plane, separating the areas by the total number of images of the same source. ...
Local arrays are denoted at left by A p'q where (p, q) is the grid position of the process on G = ...
doi:10.1109/mpdt.1996.7102339
fatcat:r6x46zu2pfd4rin4qpzt7ftqqq
Towards the Virtual Physiological Human
[article]
2007
Eurographics State of the Art Reports
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Examples will be given in the musculoskeletal, cardiac and neurological domains. All speakers are partners of the EU project "3D Anatomical Human" led by MIRALab - University of Geneva. ...
Nowadays, medical acquisition devices especially medical scanners are able to produce a large amount of information, such as highresolution volumes, temporal sequences or functional images, more-and-more ...
Magnetic Resonance Imaging (MRI): Atomic nuclei have a magnetic moment that can be oriented by an external magnetic field. ...
doi:10.2312/egt.20071062
fatcat:iyybqfp4nnadhfkaeagp6qr63q
Theoretical Foundations of Anisotropic Diffusion in Image Processing
[chapter]
1996
Computing Supplement
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The cover image shows a thresholded nonwoven fabric image which was processed by applying a coherence-enhancing anisotropic diffusion filter (see Section 5.2 for more details). ...
Their qualities are illustrated using images arising from computer aided quality control and medical applications, but also fingerprint im-viii ...
In writing this book I have been helped and influenced ...
doi:10.1007/978-3-7091-6586-7_13
dblp:conf/tfcv/Weickert94
fatcat:pu7ukgair5c63fzkkew3rq7tya
Modeling of Deformable Objects for Robotic Manipulation: A Tutorial and Review
2020
Frontiers in Robotics and AI
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In this survey article, we start by providing a tutorial on foundational aspects of models of shape and shape dynamics. ...
Manipulation of deformable objects has given rise to an important set of open problems in the field of robotics. ...
This research has been funded by SIP-STRIM project TracMac (2017-02205). SIP-STRIM was a strategic research initiative funded by Vinnova, Formas and the Swedish Energy Agency. ...
doi:10.3389/frobt.2020.00082
pmid:33501249
pmcid:PMC7805872
doaj:327f34dd8d004e8c8d815dcea38f79b6
fatcat:nwgep4tvgrgyppueryp3hg7xle
Radial basis function neural networks: a topical state-of-the-art survey
2016
Open Computer Science
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The advantages they offer, such as fast training and global approximation capability with local responses, are attracting many researchers to use them in diversified fields. ...
The overall algorithmic development of RBF networks by giving special focus on their learning methods, novel kernels, and fine tuning of kernel parameters have been discussed. ...
The model treats all the training parameters as unknown random variables and Bayesian calculation is performed through a reversiblejump Markov chain Monte Carlo method, whereas the networks are optimized ...
doi:10.1515/comp-2016-0005
fatcat:wm2ik77fi5ca7hbq66ssrnssr4
Present State of CFD Softwares Application for Launch Vehicle Analysis
발사체 해석을 위한 CFD 소프트웨어 적용 현황
2020
Journal of the Korean Society of Propulsion Engineers
발사체 해석을 위한 CFD 소프트웨어 적용 현황
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This software program takes an XML representation of the contents of a Hierarchical Data Format-Earth Observing System (HDF-EOS) file and recreates the file from that description . ...
(2) the perceptual distance between two visual images . ...
SSO operates on a digital image or a pair of digital images, and it computes a numerical measure of the perceptual strength of the single image or the difference between the images .
U.S. ...
doi:10.6108/kspe.2020.24.3.071
fatcat:trxkhiuqrjakll32bcjxskgwju
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