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Motion estimation techniques for digital TV: a review and a new contribution

F. Dufaux, F. Moscheni
1995 Proceedings of the IEEE  
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

Junqing Chen, T.N. Pappas, A. Mojsilovic, B.E. Rogowitz
2005 IEEE Transactions on Image Processing  
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

Junqing Chen
2006 SPIE Newsroom  
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

P Arbeláez, M Maire, C Fowlkes, J Malik
2011 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Ryan M. Eustice, Hanumant Singh, John J. Leonard
2006 IEEE Transactions on robotics  
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

Qiulin Tang, Beshan Chiang, Akinola Akinyemi, Alexander Zamyatin, Bibo Shi, Satoru Nakanishi, Bruce R. Whiting, Christoph Hoeschen
2014 Medical Imaging 2014: Physics of Medical Imaging  
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

Aaron Carass, Jennifer L. Cuzzocreo, Shuo Han, Carlos R. Hernandez-Castillo, Paul E. Rasser, Melanie Ganz, Vincent Beliveau, Jose Dolz, Ismail Ben Ayed, Christian Desrosiers, Benjamin Thyreau, José E. Romero (+11 others)
2018 NeuroImage  
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

Chenliang Xu, Jason J. Corso
2016 International Journal of Computer Vision  
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

Jonas Pichat, Juan Eugenio Iglesias, Tarek Yousry, Sébastien Ourselin, Marc Modat
2018 Medical Image Analysis  
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!

Marcin Paprzycki
1996 IEEE Parallel & Distributed Technology Systems & Applications  
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]

Nadia Magnenat-Thalmann, Benjamin Gilles, Hervé Delingette, Andrea Giachetti, Marco Agus
2007 Eurographics State of the Art Reports  
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]

J. Weickert
1996 Computing Supplement  
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

Veronica E. Arriola-Rios, Puren Guler, Fanny Ficuciello, Danica Kragic, Bruno Siciliano, Jeremy L. Wyatt
2020 Frontiers in Robotics and AI  
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

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho
2016 Open Computer Science  
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

Hwanghui Jeong, Jae Yeol Kim, Jae-Ryul Shin
2020 Journal of the Korean Society of Propulsion Engineers  
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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