nricp
Registration algorithm
This implementation provides an efficient algorithm for registering 3D surfaces or point clouds with non-rigid deformations and local adjustments.
Matlab implementation of non-rigid iterative closest point
205 stars
9 watching
47 forks
Language: Matlab
last commit: almost 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| Algorithms for 3D surface registration with non-rigid deformations and local transformations | 79 |
| A point cloud registration method using correntropy metrics and bidirectional correspondence | 63 |
| An algorithm for learning implicit signed distance representations from point clouds to reconstruct 3D surfaces. | 401 |
| A software package implementing a simple algorithm for aligning two 3D point clouds using an iterative closest point method | 301 |
| A ROS package that estimates the 3D pose of objects on a plane or conveyor using various techniques such as feature matching and ICP registration. | 17 |
| A 6 DoF point cloud registration system for correcting offsets between reference and sensor point clouds in 3D perception applications | 10 |
| An algorithm for determining surface normals from photometric images | 72 |
| Software implementing 3D pointset registration algorithm | 446 |
| A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds | 1,327 |
| A modular point cloud matching library used for robot localization and 3D perception in various applications. | 831 |
| A deep learning-based method for reconstructing 3D scenes from sparse views of planes. | 65 |
| A Python implementation of a salient object detection algorithm utilizing RGB-D data | 45 |
| A collection of algorithms for registering 3D point clouds using GICP and related techniques. | 1,324 |
| This project provides an implementation of an algorithm for optimal segmentation of 3D point clouds from LiDAR scans | 23 |
| A collection of Matlab classes for working with point clouds and aligning multiple 3D point sets using the Iterative Closest Point (ICP) algorithm. | 118 |