Computer Vision Classes 2017
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Updated
Dec 28, 2017
Computer Vision Classes 2017
Implementing the concept of Stereo Vision. We are given 3 different datasets, each of them containing 2 images of the same scenario but taken from two different camera angles. By comparing the information about a scene from 2 vantage points, we can obtain the 3D information by examining the relative positions of objects.
An app to view stereo 3D pictures, with VR support
Implementation of Stereo Vision algorithm
Contains implmentation of Simple Visual Odometry with Stereo setup. Uses G2O, Sophus and Eigen.
Home of the STRIDER Project
This project explains how to implement a visual odometry for a stereo camera system using epipolar geometry constraints. Stereo Matching of the images is done using Semi Global Block Matching.
This repository contains the code of obstacle detection and localization using the UV Depth segmentation method
Implementation of algorithms for stereo vision
In Progress - 3D Reconstruction of scene
A ROS Node for finding Stereo Depth and 3D Reconstruction
Stereo vision for object and robot manipulator perception with AR feedback
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