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Fast Dynamic Programming for Elastic Registration of Curves
This is a software suite for computing optimal diffeomorphisms for elastic registration of curves. Algorithm adapt-DP is based on DP (dynamic programming) restricted to an adapting strip which is able to perform this computation in linear time. Description of Algorithm adapt-DP can be found in "Fast Dynamic Programming for Elastic Registration of Curves", Proceedings of the 2nd International Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16) in conjunction with Computer Vision Pattern Recognition Conference (CVPR) 2016, Las Vegas, Nevada, June 26-July 1, 2016. The zip file Fast_Dynamic_Programming.zip contains copies of implementation of Algorithm adapt-DP as Fortran files (a Matlab Fortran mex file and a Python compatible Fortran file) for execution with Matlab/Python, Matlab/Python test files for executing adapt-DP Matlab Fortran mex file and Python compatible Fortran file, respectively, example data files, usage instructions in README files, etc.
Complete Metadata
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| contactPoint |
{
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"hasEmail": "mailto:javier.bernal@nist.gov"
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|
| description | This is a software suite for computing optimal diffeomorphisms for elastic registration of curves. Algorithm adapt-DP is based on DP (dynamic programming) restricted to an adapting strip which is able to perform this computation in linear time. Description of Algorithm adapt-DP can be found in "Fast Dynamic Programming for Elastic Registration of Curves", Proceedings of the 2nd International Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16) in conjunction with Computer Vision Pattern Recognition Conference (CVPR) 2016, Las Vegas, Nevada, June 26-July 1, 2016. The zip file Fast_Dynamic_Programming.zip contains copies of implementation of Algorithm adapt-DP as Fortran files (a Matlab Fortran mex file and a Python compatible Fortran file) for execution with Matlab/Python, Matlab/Python test files for executing adapt-DP Matlab Fortran mex file and Python compatible Fortran file, respectively, example data files, usage instructions in README files, etc. |
| distribution |
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| identifier | 6FCA2C44E87B3E49E05324570681DCB11939 |
| keyword |
[
"adapting strip",
"dynamic programming",
"elastic registration",
"shape analysis"
]
|
| landingPage | https://data.nist.gov/od/id/6FCA2C44E87B3E49E05324570681DCB11939 |
| language |
[
"en"
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|
| license | https://www.nist.gov/open/license |
| modified | 2018-06-01 00:00:00 |
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| publisher |
{
"name": "National Institute of Standards and Technology",
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|
| references |
[
"https://dx.doi.org/10.1109/CVPRW.2016.137"
]
|
| theme |
[
"Mathematics and Statistics:Image and signal processing"
]
|
| title | Fast Dynamic Programming for Elastic Registration of Curves |
