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.

Data and Resources

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modified 2018-06-01 00:00:00
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references {https://dx.doi.org/10.1109/CVPRW.2016.137}
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  • National Provider
  • North America
Tags
  • adapting-strip
  • amerigeo
  • amerigeoss
  • ckan
  • dynamic-programming
  • elastic-registration
  • geo
  • geoss
  • national
  • north-america
  • shape-analysis
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maintainer Javier Bernal
maintainer_email javier.bernal@nist.gov
metadata_created 2025-11-22T20:13:14.772075
metadata_modified 2025-11-22T20:13:14.772078
notes 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.
num_resources 4
num_tags 12
title Fast Dynamic Programming for Elastic Registration of Curves