Study of stereo photogrammetry implementation in Matlab using disparity map and feature triangulation to reconstruct the scene and Structure from Motion to estimate the camera pose

Project Repository of the course "EE 702: Computer Vision"

In this repository, 8-point algorithm is used to find the fundamental matrix based on SVD. Disparity map is generated from left and right images. In addition, RealSense depth camera 435i is used to estimate object center depth. Image thresholding and object detection are implemented. It is apart of Assignment3 in Sensing, Perception and Actuatio…

A stereo vision system project (with calibration) using the MATLAB toolboxes.

MATLAB implementation of fast stereo disparity estimator.

Computer Vision, CSE 6367, projects. Class is taken during Spring 2019, taught by Dr. William Beksi.

A stereo vision system project (without calibration) using the MATLAB toolboxes.

Software to evaluate depth estimation of ZED and ZED Mini stereo cameras for measurement purposes as part of the Master Thesis Project: Sparse Stereo Visual Odometry with Local Non-Linear Least-Squares Optimization for Navigation of Autonomous Vehicles

Pothole Detection Based on Disparity Transformation and Road Surface Modeling (T-IP)

Stereo matching algorithms implemented in MATLAB

Implementation of simple block matching, block matching with dynamic programming and Stereo Matching using Belief Propagation algorithm for stereo disparity estimation

Compute disparity map from stereo image with semi global matching algorithm.