Optimal Step Nonrigid ICP

Versión 1.2.0.0 (424 KB) por Charlie Nash
Matlab implementation of non-rigid iterative closest point
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Actualizado 4 abr 2018
Ver licencia en GitHub

Optimal Step Nonrigid ICP is a MATLAB implementation of a non-rigid variant of the iterative closest point algorithm. It can be used to register 3D surfaces. The method is described in the following paper:
'Optimal Step Nonrigid ICP Algorithms for Surface Registration', Amberg, Romandhani and Vetter, CVPR, 2007.
Features:
* Non-rigid and local deformations of a template surface or point cloud.
* Iterative stiffness reduction allows for global intitial transformations that become increasingly localised.
* Optional initial rigid registration using standard iterative closest point.
* Optional bi-directional distance metric which encourages surface deformations to cover more of the target surface.
* Handles missing data in the target surface by ignoring correspondences with points on target edges.
https://github.com/charlienash/nricp

Citar como

Charlie Nash (2025). Optimal Step Nonrigid ICP (https://github.com/charlienash/nricp), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2015a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre 3-D Volumetric Image Processing en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Toolbox Graph, geom3d, Iterative Closest Point

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nricp

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Versión Publicado Notas de la versión
1.2.0.0

Bug fix in nricp.m
1.1.0.0

Now handles missing target surface data by ignoring correspondences to points lying on edge of target. Added option to reject correspondences where surface normals are not close. Added demo for missing data.
1.0.0.0

Name change.

Minor formatting changes.
More minor formatting changes.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.