🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
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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
Implementation of the KinectFusion approach in modern C++14 and CUDA
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)
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
Sample implementation of an application using KinectFusionLib
Algorithm for user tracking and following (turtle bot control)
"Kinect Smoothing" helps you to smooth and filter the Kinect depth image as well as trajectory data
Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras
Displays the depth values received by the front-facing camera.
Generate blur image with 3 types of blur `motion`, `lens`, and `gaussian` by using OpenCV.
IROS'16/IJRR "Sparse Sensing for Resource-Constrained Depth Reconstruction"
Code examples of point cloud processing in python.
A tutorial on stereoscopic depth maps, focusing on triangulation and rectification
Omnidirectional Synthetic image generator for Computer Vision
Which object a person is pointing at? Detect it by using YOLO, Openpose and depth image (under customized scene).
A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.
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