3D Image Registration Algorithm (ICP) with MATLAB Implementation

Resource Overview

3D Image Registration Algorithm (ICP) with MATLAB implementation icp.m, enabling 3D coordinate transformation for applications in computer vision and robotics.

Detailed Documentation

This article introduces the 3D Image Registration Algorithm (ICP), a powerful algorithm designed for 3D coordinate transformation. The ICP algorithm employs an iterative approach to minimize the distance between two point clouds, making it particularly useful for aligning 3D scans or models. We provide a MATLAB implementation file named icp.m that contains the core algorithm logic, allowing users to perform 3D registration tasks efficiently. The implementation includes key functions for point cloud processing, transformation estimation, and error minimization through iterative refinement. ICP algorithm finds applications across multiple domains including computer vision and robotics, where precise 3D image processing and accurate registration are essential. The implementation is straightforward - simply call the icp.m file with appropriate input parameters to begin using the algorithm. The code structure includes configuration options for maximum iterations, tolerance thresholds, and transformation type selection. We hope this algorithm proves beneficial for your 3D processing requirements!