Fuse multiple depth frames into a TSDF voxel volume.

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

Paper Augmented Reality Toolkit - interactive projection for Processing

📷 Threaded depth-map cleaning and inpainting using OpenCV

Intel Realsense Toolkit for Hand tracking and Gestural Recognition on Unity3D

Open library to support Kinect V1 & V2 & Azure, RealSense and OpenNI-compatible sensors.

Gesture Recognition For Human-Robot Interaction with modelling, training, analysing and recognising gestures based on computer vision and machine learning techniques. This work was done at Distributed Artificial Intelligence Lab (DAI Labor), Berlin.

Displays the depth values received by the front-facing camera.

Stand-alone depth camera simulation using opengl for hardware acceleration

(Eyebeam #1 of 13) Developed with @FakeGreenDress. Record, stream, and export Kinect mocap data to After Effects puppet pins. Record directly from the Kinect or over OSC. Compiling or running from source requires SimpleOpenNI.

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

Implementation for "Adversarial Semantic Scene Completion from a Single Depth Image" in 3DV 2018

👨‍🎤detune: A TrueDepth Music Experience for iOS --> ARKit, ARFaceAnchor Boilerplate

土炮智能機器手視覺系統，結合Intel OpenVINO NCS, RealSense D435完成採收小蕃茄直交式機器手臂視覺系統概念機。

Python library to run Kinect Azure DK SDK functions

iOS application for capturing video and depth data to file

Use a depth camera on Baxter's wrist to scan an object's 3D point cloud

Markerless volumetric (multi-sensor) alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment", presented in IEEE VR 2020.

SRN: Stacked Regression Network for Real-time 3D Hand Pose Estimation

Intel-Realsense-SLAM-Robotics

Multi touch system for Kinect V1 & V2, Intel RealSense devices and OpenNI-compatible sensors.

Capture RGB-D data from a depth camera

Sparkie, Autonomous inspections for process industry by a quadruped robot with use of neural networks

(1) 3D scan object by Baxter. (2) Label objects automatically by depth camera and (3) train Yolo. (4) [TODO; NOT DONE YET!!!] Finally, detect object and fit 3D model to know the 6D pose.

a fusion of Hector SLAM 2d map construction and depth camera's pointcloud data

Embedded control system (ECS) software controls the overall behavior of ScanBot3D, an autonomous 3D reconstruction robot

Depth feed for the web

The purpose of this project is to detect and track people in an indoor environment and recognize events regarding their movement using visual information. The visual information used consists of an RGB stream and a depth stream from an ASUS Xtion Pro or Microsoft Kinect.

2019 DGIST DPoom project under UGRP : SBC-Based Full Automation Robot Driving Solution with Indoor SLAM and single RGB-D Camera

Processing app to send Kinect v1 / clone depth map via Syphon or Spout. Requires SimpleOpenNI.