Code from: Fast and robust curve skeletonization for real-world elongated objects

<p>This record contains C++ code and a Docker release for performing curve skeletonization of objects, which have a voxel representation. Curve skeletonization is used to convert a three-dimensional digital object or shape to locally one-dimensional parts; in other words, to reduce the shape information to a more easily processed form. Our algorithm does so for objects whose surface may be noisy, which is a common occurrence when working with data acquired under real-world conditions. This record also includes a test dataset for verifying that the code is running correctly and as examples of how to convert from different file types. This code is a companion to the paper, “Fast and robust curve skeletonization for real-world elongated objects,” by Amy Tabb and Henry Medeiros, published as part of the IEEE WACV 2018 conference. A free, identical version is available on arXiv:1702:07619[cs.CV] (<a href="https://arxiv.org/pdf/1702.07619.pdf">https://arxiv.org/pdf/1702.07619.pdf</a>).</p> <p>Open source code can be found at: <a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros">https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</a></p> <p>Docker container release can be found at: <a href="https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/">https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/</a></p> <p>We also include the results of using our code on one of the examples so that you can be sure that the code worked correctly. This folder is named 'A_Result' and can be found in the resource titled 'examples.zip'. A README is included in this record as well as in the examples folder. Both the GitHub and Docker repositories contain the test data to confirm that your data is formatted appropriately.</p> <p>Problems/Comments/Bugs should be addressed to amy.tabb@ars.usda.gov</p> <p>Note: Docker link to Curve Skeleton repository resource was added on 7/30/2018 </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Examples of data formats needed to run the code.</p> <p>File Name: examples.zip</p><p>Resource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.</p><p>Resource Software Recommended: Link to Github code,url: <a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros">https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</a> </p></li><br><li><p>Resource Title: README for the example directory.</p> <p>File Name: README_2017.txt</p></li></ul><p></p>

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Bibliographic Details
Main Author: Amy Tabb (17362417)
Format: Software biblioteca
Published: 2017
Subjects:Geomatic engineering, Photogrammetry and remote sensing, Information extraction and fusion, Programming languages, Software quality, processes and metrics, NP305, C++, computer code, 3-D conversion, data.gov, ARS,
Online Access:https://figshare.com/articles/software/Code_from_Fast_and_robust_curve_skeletonization_for_real-world_elongated_objects/24660759
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spelling dat-usda-us-article246607592017-10-17T00:00:00Z Code from: Fast and robust curve skeletonization for real-world elongated objects Amy Tabb (17362417) Geomatic engineering Photogrammetry and remote sensing Information extraction and fusion Programming languages Software quality, processes and metrics NP305 C++ computer code 3-D conversion data.gov ARS <p>This record contains C++ code and a Docker release for performing curve skeletonization of objects, which have a voxel representation. Curve skeletonization is used to convert a three-dimensional digital object or shape to locally one-dimensional parts; in other words, to reduce the shape information to a more easily processed form. Our algorithm does so for objects whose surface may be noisy, which is a common occurrence when working with data acquired under real-world conditions. This record also includes a test dataset for verifying that the code is running correctly and as examples of how to convert from different file types. This code is a companion to the paper, “Fast and robust curve skeletonization for real-world elongated objects,” by Amy Tabb and Henry Medeiros, published as part of the IEEE WACV 2018 conference. A free, identical version is available on arXiv:1702:07619[cs.CV] (<a href="https://arxiv.org/pdf/1702.07619.pdf">https://arxiv.org/pdf/1702.07619.pdf</a>).</p> <p>Open source code can be found at: <a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros">https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</a></p> <p>Docker container release can be found at: <a href="https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/">https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/</a></p> <p>We also include the results of using our code on one of the examples so that you can be sure that the code worked correctly. This folder is named 'A_Result' and can be found in the resource titled 'examples.zip'. A README is included in this record as well as in the examples folder. Both the GitHub and Docker repositories contain the test data to confirm that your data is formatted appropriately.</p> <p>Problems/Comments/Bugs should be addressed to amy.tabb@ars.usda.gov</p> <p>Note: Docker link to Curve Skeleton repository resource was added on 7/30/2018 </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Examples of data formats needed to run the code.</p> <p>File Name: examples.zip</p><p>Resource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.</p><p>Resource Software Recommended: Link to Github code,url: <a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros">https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</a> </p></li><br><li><p>Resource Title: README for the example directory.</p> <p>File Name: README_2017.txt</p></li></ul><p></p> 2017-10-17T00:00:00Z Software Software 10.15482/usda.adc/1399689 https://figshare.com/articles/software/Code_from_Fast_and_robust_curve_skeletonization_for_real-world_elongated_objects/24660759 U.S. Public Domain
institution USDA US
collection Figshare
country Estados Unidos
countrycode US
component Datos de investigación
access En linea
databasecode dat-usda-us
tag biblioteca
region America del Norte
libraryname National Agricultural Library of USDA
topic Geomatic engineering
Photogrammetry and remote sensing
Information extraction and fusion
Programming languages
Software quality, processes and metrics
NP305
C++
computer code
3-D conversion
data.gov
ARS
spellingShingle Geomatic engineering
Photogrammetry and remote sensing
Information extraction and fusion
Programming languages
Software quality, processes and metrics
NP305
C++
computer code
3-D conversion
data.gov
ARS
Amy Tabb (17362417)
Code from: Fast and robust curve skeletonization for real-world elongated objects
description <p>This record contains C++ code and a Docker release for performing curve skeletonization of objects, which have a voxel representation. Curve skeletonization is used to convert a three-dimensional digital object or shape to locally one-dimensional parts; in other words, to reduce the shape information to a more easily processed form. Our algorithm does so for objects whose surface may be noisy, which is a common occurrence when working with data acquired under real-world conditions. This record also includes a test dataset for verifying that the code is running correctly and as examples of how to convert from different file types. This code is a companion to the paper, “Fast and robust curve skeletonization for real-world elongated objects,” by Amy Tabb and Henry Medeiros, published as part of the IEEE WACV 2018 conference. A free, identical version is available on arXiv:1702:07619[cs.CV] (<a href="https://arxiv.org/pdf/1702.07619.pdf">https://arxiv.org/pdf/1702.07619.pdf</a>).</p> <p>Open source code can be found at: <a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros">https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</a></p> <p>Docker container release can be found at: <a href="https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/">https://hub.docker.com/r/amytabb/curveskel-tabb-medeiros-docker/</a></p> <p>We also include the results of using our code on one of the examples so that you can be sure that the code worked correctly. This folder is named 'A_Result' and can be found in the resource titled 'examples.zip'. A README is included in this record as well as in the examples folder. Both the GitHub and Docker repositories contain the test data to confirm that your data is formatted appropriately.</p> <p>Problems/Comments/Bugs should be addressed to amy.tabb@ars.usda.gov</p> <p>Note: Docker link to Curve Skeleton repository resource was added on 7/30/2018 </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Examples of data formats needed to run the code.</p> <p>File Name: examples.zip</p><p>Resource Description: This directory contains a three-dimensional object in voxel representation, in directory "OurFileFormat". "ConversionFromImageSequence" contains files to demonstrate how to convert from the image sequence format common with ImageJ/Fiji to our format using our code. Finally, "A_Result" shows the results from running our code. A README is also included.</p><p>Resource Software Recommended: Link to Github code,url: <a href="https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros">https://github.com/amy-tabb/CurveSkel-Tabb-Medeiros</a> </p></li><br><li><p>Resource Title: README for the example directory.</p> <p>File Name: README_2017.txt</p></li></ul><p></p>
format Software
author Amy Tabb (17362417)
author_facet Amy Tabb (17362417)
author_sort Amy Tabb (17362417)
title Code from: Fast and robust curve skeletonization for real-world elongated objects
title_short Code from: Fast and robust curve skeletonization for real-world elongated objects
title_full Code from: Fast and robust curve skeletonization for real-world elongated objects
title_fullStr Code from: Fast and robust curve skeletonization for real-world elongated objects
title_full_unstemmed Code from: Fast and robust curve skeletonization for real-world elongated objects
title_sort code from: fast and robust curve skeletonization for real-world elongated objects
publishDate 2017
url https://figshare.com/articles/software/Code_from_Fast_and_robust_curve_skeletonization_for_real-world_elongated_objects/24660759
work_keys_str_mv AT amytabb17362417 codefromfastandrobustcurveskeletonizationforrealworldelongatedobjects
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