A heterogeneous and fully parallel stereo matching algorithm for depth estimation, implementing a local adaptive support weight (ADSW) Guided Image Filter (GIF) cost aggregation stage. Developed in both C++ and OpenCL.

Code for 'Segment-based Disparity Refinement with Occlusion Handling for Stereo Matching'

Disparity maps using various algorithms

Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17

C++ example codes for camera calibration, rectification and to build disparity maps

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator (RAL+ICRA'21)

C++ implementation of PatchMatch Stereo for images

ROS package for local obstacle avoidance using stereo RGB cameras on the Jackal

Stereo matching and sparse disparity map implementation using OpenCV (BRISK, ORB algorithms)

Calculating Disparity Maps using openCVs implemented algorithms.

🖼️ Generate a disparity map from a pair of stereo images

Example of disparity map created by stereo correspondence through two images and a point cloud map created by LIDAR data values (distances measures).

Stereo Disparity Map using 1D POC for Openframeworks

Using Stereo SGM to calculate the disparity map of two images :Stereo Processing by Semiglobal Matching and Mutual Information .

ROS Nodelet package for doing disparity stereo-matching with the More Global Matching (MGM) algorithm!

Finds the stereo disparity between a pair of stereo images using SIFT and ORB algorithms

This library provides an easy and accessible way to read and write .pfm files in C++ by only relying on the sandard library.

Camera data processing with Intel RealSense T265

A stereo camera system for generating a real-time depth-map and 3D point cloud.

StereoVision, OpenCV Implementation