🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
-
Updated
Nov 11, 2021 - C++
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
Real-Time 3D Semantic Reconstruction from 2D data
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)
Implementation of the KinectFusion approach in modern C++14 and CUDA
Sample implementation of an application using KinectFusionLib
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
TensorRT implementation of Depth-Anything V1, V2
Algorithm for user tracking and following (turtle bot control)
IROS'16/IJRR "Sparse Sensing for Resource-Constrained Depth Reconstruction"
Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras
Code examples of point cloud processing in python.
"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data
A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.
Capture RGB-D data from a depth camera
Which object a person is pointing at? Detect it by using YOLO, Openpose and depth image (under customized scene).
Omnidirectional Synthetic image generator for Computer Vision
A tutorial on stereoscopic depth maps, focusing on triangulation and rectification
Deep-learning approaches to object recognition from 3D data
Add a description, image, and links to the depth-image topic page so that developers can more easily learn about it.
To associate your repository with the depth-image topic, visit your repo's landing page and select "manage topics."