Reimplementation of https://github.com/GhiXu/ACMH with the Kompute framework
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Updated
Oct 28, 2023 - C++
Reimplementation of https://github.com/GhiXu/ACMH with the Kompute framework
Code for Iterative Recurrent - Multi-view Stereo Network.
Recreating a 3D scene using images taken from several point of views.
Generate a 3D mesh from a few images
Project work from 3D Computer Vision course
Towards an efficient 3D model estimation methodology for aerial and ground images
Multi-distribution fitting for multi-view stereo
A SfM pipeline for orthographic images
Joint Bilateral Upsampling with C++ and CUDA
Photogrammetric Computer Vision Framework
(Unofficial) Implementation of the paper "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS" Chen et al.
Camera calibration tool in Python + OpenCV
Demos and results of our method. Code will be available soon...
Python scripts for converting SFM output into MVS input
Implementation of 3D reconstruction from accidental motion, CVPR 2014
Unstructured multi-view depth estimation using mask-based multiplane representation
A modern C++/CUDA implementation of state-of-the-art Multi-View Stereo (MVS) algorithms, open to community contributions.
The project explores 3D reconstruction using Multi-View Stereo (MVS) and Structure from Motion (SfM). We show the equations how to calibrate an uncalibrated stereo then reproject our image to 3D space.
A simple C++ algorithm for converting depth and normal maps to a point cloud
Repository for software and assets developed during Eberty's master's project
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