Fast Dynamic Programming for Elastic Registration of Curves

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Metadata Last Checked: June 27, 2025 | Last Modified: 2018-06-01 00:00:00

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.

Find Related Datasets

Click any tag below to search for similar datasets

Complete Metadata

bureauCode	[ "006:55" ]
identifier	6FCA2C44E87B3E49E05324570681DCB11939
landingPage	https://data.nist.gov/od/id/6FCA2C44E87B3E49E05324570681DCB11939
language	[ "en" ]
programCode	[ "006:045" ]
references	[ "https://dx.doi.org/10.1109/CVPRW.2016.137" ]
theme	[ "Mathematics and Statistics:Image and signal processing" ]