Stereo Vision Core accelerator following a stream processing architecture. An RTL description implements The accelerator in VHDL and can be synthesized on FPGA.

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

Disparity Map from Stereo Pair Image using HitNet

Depth prediction by neural network in Matlab/Simulink using python.

Depth map from stereo pair. Implementation of "Fast Cost-Volume Filtering for Visual Correspondence and Beyond

Disparity map for the image and the 2D into the 3D conversion of these images.

An implementation of the block matching stereo vision algorithm.

This repo is for dmag4 semi-automatic 2d to 3d converter. It creates a depth map given depth clues and a so-called edge map which segments the 2d image.

This is a Modified repository, it is based on the original "Anytime Stereo Image Depth Estimation on Mobile Devices" by Yan Wang, Zihang Lai, Gao Huang, Brian Wang, Laurens van der Maaten, Mark Campbell, and Kilian Q. Weinberger. The original work has been accepted by the International Conference on Robotics and Automation (ICRA) in 2019.

A fundamental set of equations, used in photogrammetry, to relate coordinates in a 2D sensor plane to 3D object coordinates.

Computer vision small projects. Algorithms from scratch.

[AI6121] Computer Vision is an elective course of MSAI, SCSE, NTU, Singapore. The repository corresponds to the AI6121 of Semester 1, AY2021-2022, starting from 08/2021. The instructor of this course is Prof. Lu Shijian.

Semester project for my 3D Computer Geometry & Vision course.

Probabilistic Graphical Models for Stereo Disparity Map Reconstruction by Factor Graph and Belief Propagation Maximum A Posteriori

A straightforward Siamese network designed for block matching to generate a disparity map

Program that computes depth information from a stereo camera system

A project based on the use of stereoscopic images for computer vision related tasks.

Camera model and stereo depth sensing using OpenCV

ENPM673: Project 3. Implementing a stereo vision pipeline to find the depth of an image. This project will generate a heat map indicating depth which has been calculated using disparity between correspondences

Project to find disparity and depth maps for given two image sequences of a subject