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A resource repository for 3D machine learning
When told to understand the shape of a new object, the most instinctual approach is to pick it up and inspect it with your hand and eyes in tandem. Here, touch provides high fidelity localized information while vision provides complementary global context. However, in 3D shape reconstruction, the complementary fusion of visual and haptic modalities remains largely unexplored. In this paper, we study this problem and present an effective chart-based approach to fusing vision and touch, which leverages advances in graph convolutional networks. To do so, we introduce a dataset of simulated touch and vision signals from the interaction between a robotic hand and a large array of 3D objects. Our results show that (1) leveraging both vision and touch signals consistently improves single-modality baselines, especially when the object is occluded by the hand touching it; (2) our approach outperforms alternative modality fusion methods and strongly benefits from the proposed chart-based structure; (3) reconstruction quality boosts with the number of grasps provided; and (4) the touch information not only enhances the reconstruction at the touch site but also extrapolates to its local neighborhood.
A plattform to ease DRL research
Awesome work on object pose estimation and reconstruction
Reading list for research topics in embodied vision
This repository is a curated list of papers and open source code for 6D Object Pose Estimation.
Bundle Adjusted Direct RGB-D SLAM
BenchBot is a tool for seamlessly testing & evaluating semantic scene understanding tools in both realistic 3D simulation & on real robots
A procedural Blender pipeline for photorealistic training image generation
Voxblox-based submapping
CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams
I built a new project and rewrite the slam part including slam_2d and slam_3d
ORB SLAM optimization implement with ceres solver
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
A book and examples on collision detection
Confusion matrix for Mask R-CNN (Matterport implementation)
Code for "CosyPose: Consistent multi-view multi-object 6D pose estimation", ECCV 2020.
Cross-Platform Software-Defined Radio Application
Robotics with GPU computing
CVPR 2020 论文开源项目合集
计算机视觉——一种现代方法
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
Depth map refine using occlusion edge and occlusion order
This is a Pytorch implementation of deep image blending
Deforming kernels to adapt towards object deformation. In ICLR 2020.
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
Python code used to transform depth map to normal map
2019 IEEE GRSS Data Fusion Contest data, baselines, and metrics
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.