Jupyter notebooks on 3D vision
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Updated
Jul 29, 2023 - Jupyter Notebook
Jupyter notebooks on 3D vision
This work generates 2D and 3D landmark labels from videos with only two or three uncalibrated, handheld cameras moving in the wild. NeurIPS 2022.
A cheap solution to VR tracking using multiple Wi-Fi based cameras and a light
My implementation of algorithms used in Computer Vision.
Experimental code for 3D reconstruction from multiple images
This repository contains my paper reviews, solutions and code submissions for projects completed as part of CMSC848F during Fall 2023. Each project is organized in its own folder, with accompanying documentation and any necessary resources.
Some functions to work with Lie groups SO(3) and SE(3). State Estimation for Robotics
Camera calibration tool in Python + OpenCV
深蓝学院视觉slam理论与实践 Implementation of Basic Visual SLAM Algorithms
Multi-view pose estimation with flexible mixtures of parts and adaptive viewpoint selection
Code accompanying 'A linear method for camera pair self-calibration' paper about camera pair self-calibration and metric reconstruction starting from a projective reconstruction, assuming different and varying focal lengths
a Pytorch library for multi-view 3D understanding and generation
[WACV-2020] Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency
Images dataset for 3D reconstruction
The EYELib: A matlab-python library for Single View Metrology and auto-calibration algorithms and methods
SteamVR Compatible Motion Controller with ESP8266 and Raspberry Pi
a library that clusters set of images with poses into clusters for easier mvs
[NeurIPS 2023] Code for "Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives"
Optical multi-view motion capture with calibration suite
open source 3D computer vision library
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