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Markerless volumetric alignment for depth sensors. Contains the code of the work "Deep Soft Procrustes for Markerless Volumetric Sensor Alignment" (IEEE VR 2020).
[DEMO] links Intel RealSense T265 (tracking-camera) & Intel RealSense D435i (depth-camera) via roboter-operating-system (ROS) for generating a trackable point-cloud image dataset in the "real world"
This repository helps you extract useful information from Openpose node publisher via comparing position of body nodes and estimate the gesture which user poses
Intel Realsense t265 into Unreal Engine. This is forked from bjarque repo. I am using this as template for a similar project. No changes has been made until further notice.
A lightweight and efficient library for enhancing noisy or incomplete depth data from sensors like RGB-D cameras, enabling reliable perception for robotics applications.