Computer Vision Classes 2017
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Updated
Dec 28, 2017
Computer Vision Classes 2017
A texture generator for feature-point rich textures
Computer Vision exercises such as: camera calibration, image filters, hough transform, stereo vision, CNN...
utility functions for the [Stereo Instance on Surfaces (STOIS) dataset
A modified COLMAP to take as input multi-channel images. It can be used to evaluate the proposed multi-channel feature/descriptor.
This is my personal implementation of some functions seen during the course of artificial vision. Basically, in this code are been re-implemented some of the very basic functions of OpenCV
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.
RGB-D based local mapper
An app to view stereo 3D pictures, with VR support
MVL Stereo Toolbox
Implementation of Stereo Vision algorithm
This is website for the project done as my Master's thesis at IITM
Road surface inspection system using depth cameras.
GPU Realtime depth passive stereo sensing using ADCensus
Contains implmentation of Simple Visual Odometry with Stereo setup. Uses G2O, Sophus and Eigen.
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