3D Reconstruction Image Matching
This is a classic MATLAB-based toolkit highly suitable for image matching applications, particularly useful for 3D reconstruction projects.
Explore MATLAB source code curated for "三维重建" with clean implementations, documentation, and examples.
This is a classic MATLAB-based toolkit highly suitable for image matching applications, particularly useful for 3D reconstruction projects.
MATLAB source code for segmentation and 3D reconstruction of CT and other medical images, featuring algorithms for image processing and volumetric visualization
This program is designed for 3D reconstruction of three-dimensional images, featuring highly practical applications. It employs advanced algorithms to convert image data into precise 3D models through volumetric processing or point cloud generation techniques.
A foreign-developed 2D phase unwrapping algorithm implemented in MATLAB and C++. This solution features robust phase discontinuity handling through quality-guided path following and residue-cut methods, making it suitable for researchers in 3D reconstruction applications requiring accurate phase restoration.
This file contains comprehensive data and results for feature point detection and matching in 3D reconstruction, utilizing standard images from computer vision libraries with detailed algorithm implementations.
A comprehensive program code collection for stereo vision applications specifically designed for 3D reconstruction purposes
This program features a validated 3D reconstruction pipeline with proven experimental results, offering robust learning resources for computer vision implementation. The codebase includes point cloud processing, surface reconstruction algorithms, and camera calibration modules.
Registration for 3D Point Cloud Data
Structured Light 3D Reconstruction Implemented with MATLAB - Complete Practical Examples
Three-Frequency Four-Step Phase-Shifting Method for Structured Light 3D Measurement