Optimal Step Nonrigid ICP

버전 1.2.0.0 (424 KB) 작성자: Charlie Nash
Matlab implementation of non-rigid iterative closest point
4.7
(9)
다운로드 수: 2.5K
업데이트 날짜: 2018/4/4
GitHub에서 라이선스 보기

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

인용 양식

Charlie Nash (2024). Optimal Step Nonrigid ICP (https://github.com/charlienash/nricp), GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2015a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux
카테고리
Help Center 및 MATLAB Answers에서 3-D Volumetric Image Processing에 대해 자세히 알아보기

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

data

demos

nricp

GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전 게시됨 릴리스 정보
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.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.