The Intel® RealSense™ 3D Camera Rear R200 (DS4) Event Based Sensor sample illustrates how to use on-board sensors to aid in 3D capture stability when using Intel® RealSense™ technology.
Learn how to use the Intel® RealSense™ SDK to scan and map a user’s face onto an existing 3D character model. The face mapping sample uses the 3D Scan module to scan the user's face and then map it onto an existing 3D head model. This technique does a "stone face" mapping that is not rigged or currently capable of animating. The code is written in C++ and uses DirectX*.
The Intel® RealSense™ SDK has been discontinued. No ongoing support or updates will be available.
The Java parser for depth photo parses eXtensible Device Metadata (XDM) image files and extracts metadata embedded in image files to generate XML files. In addition, this app analyzes XML files to extract color image data and depth map data. It is a fundamental building block for depth photography use cases, like the image viewer, refocus feature, parallax feature, and measurement feature.
Use this code sample to learn how to use a native Unity plug-in to increase performance of displaying Intel® RealSense™ SDK image data by bypassing the C# layers of the SDK. Image data is uploaded to the GPU directly through the graphics API.
This article provides an introduction to autonomous navigation and its use in augmented reality applications, with a focus on agents that move and navigate. Autonomous agents are entities that act independently using artificial intelligence, which defines the operational parameters and rules by which the agent must abide. The agent responds dynamically in real time to its environment, so even a...
This article describes how to make a pan-tilt person-tracking camera rig using an Intel® RealSense™ camera (R200) and a few inexpensive electronic components. The goal of this project was to devise a mechanism that extends the viewing range of the camera for tracking a person in real time.
This article and sample application show you how to use the Intel® RealSense™ camera (R200) and the Enhanced Photography functionality that is part of the Intel® RealSense™ SDK. The article separates the Intel RealSense SDK functionality from the GUI layer code to make it easier to focus on the R200 Enhanced Photography functionality.
You can use LibRealSense and OpenCV* to stream RGB and depth data from your connected Intel® RealSense™ camera. This tutorial and code sample shows how to do this, based on the Ubuntu* operating system. In the end you will have a nice starting point where you use this code base to build upon to create your own LibRealSense / OpenCV applications.