双目立体视觉是计算机视觉范畴的核心之一，它利用双目相机来获得目标物体的图像，经过物体图像处理 之后得到目标物体所在场景环境的三维信息，最终实现非接触条件下测距，简单便捷。本次毕业设计主要内容为研究 基于双目立体视觉平台上的图像匹配以及目标物体的距离测量技术，图像特征提取部分研究了 SIFT 算法和 SURF 算 法，特征匹配部分研究了 BF 法和 FLANN 法，距离测量研究主要通过视差深度的计算，结合视觉坐标系的转换实现 三维位置的定位与测量。结合维视双目立体视觉测量平台 MV-VS220，通过 Python+OpenCV 设计实现一个具备图像 采集、图像匹配以及距离测量等功能的原型演示系统。系统可实现对关键环节的过程与结果的演示，以及不同算法的 性能比较。系统测试表明，所开发的原型演示系统从界面、功能与性能方面均达到了设计的要求。

存放之前使用c++编写的双目立体视觉三维重建的相关代码和文件

Real-time binocular stereo vision FPGA system with OV5640 cameras

基于SIFT特征匹配的双目立体视觉测距

This project accomplishes the task of 3D reconstruction based on binocular stereo vision. It realizes the entire process from camera calibration, image matching, to point cloud visualization.

Real-time binocular stereo vision FPGA system with OV5640 cameras

Grab pictures from stereo camera or a ZED camera and automatic calibrate the binocular vision system with a high accuracy.

No description available

Because the traditional matching cost calculation algorithm is difficult to meet the accuracy requirements of complex tasks. In recent years, deep learning methods have made successful breakthroughs in image processing. Because of their superior performance in self-learning and feature information extraction, we aim to use deep learning algorithms to calculate high-precision initial matches cost.

Target location and tracking technology based on binocular vision

No description available

Binocular Stereo Vision: calibration, rectify, stereo matching using sad/sgbm/bm/gc

No description available

Scene depth estimation based on binocular stereo vision.

Performing Dense correspondence matching and Depth Image Generation using Patch Matching and Gradients-Based Features algorithms.

This is an project of moving object tracking based on binocular stereo vision.

No description available

This project focuses on the principles of a binocular stereo vision system, system calibration, image adjustment, image matching, depth information calculation, and point cloud generation, with the goal of completing 3D reconstruction based on binocular vision.

Undergrad thesis 2015 (Electrical Engineering) by Ankush Gola and Joseph Bolling. A dynamic baseline binocular stereo vision system using quadrotor UAVs.

No description available

计算机双目立体视觉读书笔记

At the moment, there is only the calibration code for the binocular camera. And there would be something else in the future

Binocular stereo vision system

binocular-stereo-vision, vignetting-correction

Binocular Stereo Vision Hole Detection

This project reconstructs disparity and depth in real time using a hardware-accelerated StereoLBM on a PYNQ-Z2 (Zynq-7000) with dual OV5640 cameras. Bare-metal C handles sensors, framebuffers and HDMI; calibration/rectification are offline.

Jupyter Notebok demonstrating artificial 'bokeh' using binocular stereo vision using simple stereo matching techniques

binocular stereo vision/sfm

No description available

This project implements a strictly traditional computer vision pipeline for metric-accurate volumetric reconstruction of road anomalies (potholes and humps) using binocular stereo vision.