Learning 3D Vision (geometric approach to computer vision)
-
Updated
May 18, 2020 - C++
Learning 3D Vision (geometric approach to computer vision)
Path Detector Version 2
Testing App for Open3D reconstruction
ViRHaS is a omindirectional robot, equipped with two raspberry pi cameras for stereoscopic live streaming video
Geometric Affordances from a Single Example via the Interaction Tensor
a lightweight portable library for 3D visualization
Code for our "What can I do here? Leveraging Deep 3D saliency and geometry for fast and scalable multiple affordance detection" paper.
Improved pytorch implementation of RandLA (https://arxiv.org/abs/1911.11236) with easier transferability and reproductibility
Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICCV 2023."
[WACV 2021] Dynamic Plane Convolutional Occupancy Networks
Volumetric Fusion of Multiple Semantic Labels and Masks
A graphical user interface to annotate point clouds and 3D data.
OnePiece (libonepiece) is a RGB-D based 3D vision library, you can easily use OnePiece to build a SLAM system and extract a 3D model.
🔥 💪 FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding
(latest updates and bug fixed) DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction
🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.
Add a description, image, and links to the 3d-vision topic page so that developers can more easily learn about it.
To associate your repository with the 3d-vision topic, visit your repo's landing page and select "manage topics."