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Parallel Evolutionary Registration of Range Data
2002
Computer Vision and Image Understanding
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It searches many areas of a registration parameter space in parallel and has available to it a selection of evolutionary techniques to avoid local minima which plague both ICP and its variants. ...
Most range data registration techniques are variants on the iterative closest point (ICP) algorithm, proposed by Chen and Medioni [2] and Besl and McKay [3] . ...
of chromosomes sort C into descending order if end conditions met stopped:=TRUE send terminate signal to slaves endif endwhile end Algorithm 2 (Parallel evolutionary registration -slave process). begin ...
doi:10.1006/cviu.2002.0981
fatcat:byxsmefefjhzhmiczjmmvovnm4
Biomedical Image Registration by means of Bacterial Foraging Paradigm
2016
International Journal of Computers Communications & Control
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Image registration (IR) is the process of geometric overlaying or alignment f two or more 2D/3D images of the same scene (unimodal registration), taken r not at different time slots, from different angles ...
Technically, image registration implies complex optimization of different parameters, performed at local or/and global evel. ...
Moreover, the latter methods perform faster than the former ones due to the reduced amount of data they take into account, at the expense of achieving coarse results. ...
doi:10.15837/ijccc.2016.3.1860
fatcat:yle42hd2arewxdigrsqo7s726y
A Framework for Customizable FPGA-based Image Registration Accelerators
2021
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
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For these reasons, we propose an open-source hardware-software framework to generate a configurable architecture for the most compute-intensive part of registration algorithms, namely the similarity metric ...
Generally, the registration targets are images taken from different time instances, acquisition angles, and/or sensor types. ...
ACKNOWLEDGMENT Data used in this publication were generated by the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (CPTAC). ...
doi:10.1145/3431920.3439291
fatcat:65wi3xbbl5hvzkfkdbmu7n62ae
Computational Intelligence in Remote Sensing Image Registration: A survey
2020
International Journal of Automation and Computing
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In the part of remote sensing image registration based on evolutionary calculation, the principles of evolutionary algorithms and swarm intelligence algorithms are elaborated and their application in remote ...
This paper introduces the application of computational intelligence in remote sensing image registration from the two directions of evolutionary computing and deep learning. ...
[120] used GAN to automatically create more training data without manually standardizing data, this method can increase the accuracy of registration. ...
doi:10.1007/s11633-020-1248-x
fatcat:2adppeabnvhmzdylnl6udodluy
Evaluation of various evolutionary methods for medical image registration
2011
2011 IEEE Third International Workshop On Computational Intelligence In Medical Imaging
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Over the years, it has been applied to a broad range of real-world problems ranging from remote sensing to medical imaging, artificial vision, and computer-aided design. ...
Finally, a selection of some of the most representative methods are benchmarked facing challenging 3D medical image registration problem instances. ...
Thus, next section is devoted to introduce a short revision of some of those, in our modest opinion, most relevant EC-based IR methods proposed to date.
IV. EVOLUTIONARY IMAGE REGISTRATION A. ...
doi:10.1109/cimi.2011.5952044
dblp:conf/cimi/DamasCS11
fatcat:jwjfnmg6kvhvhhyfwpwmax6abq
Hierarchical multi-sensor image registration using evolutionary computation
2005
Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05
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using evolutionary computation. ...
Experimental results show that the proposed approach achieves good results for image registration between color and IR imagery. ...
Automatic Image Registration Using Evolutionary Computation In manual image registration, a set of corresponding points are manually selected from the two images to compute the parameters of the transformation ...
doi:10.1145/1068009.1068349
dblp:conf/gecco/HanB05
fatcat:mcivkf5qv5hf5fu3h5ikwb2twm
Computational Intelligence in Remote Sensing: An Editorial
2020
Sensors
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Remote sensing data has been a salient field of application of computational intelligence algorithms, both for the exploitation of the data and for the research/development of new data analysis tools. ...
Computational intelligence is a very active and fruitful research of artificial intelligence with a broad spectrum of applications. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s20030633
pmid:31979240
pmcid:PMC7038229
fatcat:inwh36whqffs5fy7i5hzrfzmb4
Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration
2019
Algorithms
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Current state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. ...
To this end, we employed a multi-objective evolutionary algorithm to learn sets of weight combinations for three breast DIR problems of increasing difficulty: 10 prone-prone cases, 4 prone-supine cases ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/a12050099
fatcat:jfuccee75bfedpcu3st43ox3u4
Medical Image Registration Using Evolutionary Computation: An Experimental Survey
2011
IEEE Computational Intelligence Magazine
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State of the Art of Image Registration Based on Evolutionary Computation and Other Metaheuristics
A. ...
Proposal As in [8] , the GA-based IR method proposed by Robertson and Fisher [40] adopts a parallel computing approach in order to improve the efficiency of IR tasks dealing with range images. ...
doi:10.1109/mci.2011.942582
fatcat:pv5xypteqbdd5eykukxf7bp6da
PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis
2016
Swarm and Evolutionary Computation
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We develop a scalable evolutionary computational approach utilizing massively parallel high performance computing for political redistricting optimization and analysis at fine levels of granularity. ...
Our parallelization of the algorithm further harnesses massive parallel computing power provided by supercomputers via the coupling of EA search processes and a highly scalable message passing model that ...
Any opinions, findings, and conclusions or recommendations expressed here are those of the authors and do not reflect the views of NSF. ...
doi:10.1016/j.swevo.2016.04.004
fatcat:veohn6jdifbx5ms4mljdltfzdi
Global ray-casting range image registration
2017
IPSJ Transactions on Computer Vision and Applications
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The method finds the most suitable homogeneous transformation matrix between two constructed range images to create a more complete 3D view of a scene. ...
This method eliminates the fine registration steps of the well-known iterative closest point (ICP) algorithm used in previously proposed methods, and thus, is the first direct global registration algorithm ...
s paper, Registration of range data using a hybrid simulated annealing and iterative closest point algorithm. ...
doi:10.1186/s41074-017-0025-4
fatcat:ncwrutu6arfqddnokuq7joc7am
A comparative study of state-of-the-art evolutionary image registration methods for 3D modeling
2011
Computer Vision and Image Understanding
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In this contribution, we aim to review the state-of-the-art image registration methods that lay their foundations on evolutionary computation. ...
Recently, there is an increasing interest on the application of the evolutionary computation paradigm to this field in order to solve the ever recurrent drawbacks of traditional image registration methods ...
Supplementary data Supplementary data associated with this article can be found, in the on-line version of the journal, at ScienceDirect.com. ...
doi:10.1016/j.cviu.2011.05.006
fatcat:lq6uo4dltvf2litzergvehdtni
Evolutionary tabu search strategies for the simultaneous registration of multiple atomic structures in cryo-EM reconstructions
2010
Journal of Structural Biology
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The classic scheme of a genetic algorithm was enhanced with new genetic operations, tabu search and parallel computing strategies and validated on a benchmark of synthetic and experimental cryo-EM datasets ...
Here we introduce a novel method based on genetic algorithms, for the effcient exploration of the multi-body registration search space. ...
The present work was supported by NIH grant R01GM62968, a grant from the Gillson-Longenbaugh Foundation, and startup funds from the University of Texas at Houston (to S.B.). ...
doi:10.1016/j.jsb.2009.12.028
pmid:20056148
pmcid:PMC2872094
fatcat:3agk453uibeoxnbo26f57r3s7u
Improving Registration Using Multi-channel Diffeomorphic Demons Combined with Certainty Maps
[chapter]
2011
Lecture Notes in Computer Science
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Even though data from multiple modalities might be available, image registration is typically only performed using data from a single modality. ...
The number of available imaging modalities increases both in clinical practice and in clinical studies. ...
With an inner product defined, a fiber bundle similarity measure, ranging from 0 to 1, is easily constructed as: < F, F > N = < F, F > F F where F 2 =< F, F >
Data acquisition The data consisted of 10 ...
doi:10.1007/978-3-642-24446-9_3
fatcat:dohcskzuaffx3ekmkawsfccdty
Evaluation of the ICP algorithm in 3D point cloud registration
2020
IEEE Access
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We first analyze the effective ranges of the two ICP algorithms with respect to overlap ratio, angle, and distance and then propose a universal effective range for the three factors. ...
In addition, the general effective range of point-to-point ICP is larger than that of point-to-plane ICP, but the point-to-plane ICP algorithm presents a better efficiency. ...
(FIPP) [37] , Evolutionary Calculation [38] , etc. ...
doi:10.1109/access.2020.2986470
fatcat:yrc4z624qnbdrfrfcg3jkn7swu
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