Archived - UX Best Practices for Intel® RealSense™ Camera (User Facing) - Technical Tips

The six short technical videos featured in this article help you implement UX best practices when developing software for the Intel RealSense user facing cameras (F200 and SR300) that uses the software and hardware for best effect. Topics covered include Boundary Boxes, Capture Volume, Interaction Zone, Occlusion, Speed and Precision, and World Space.
作者: 最后更新时间: 2018/05/30 - 07:00

Archived - A Developer’s Guide To Intel® RealSense™ Camera Detection Methods

This paper provides an overview of some key aspects in developing Intel® RealSense™ applications that are portable across the different front-facing cameras: Intel® RealSense™ cameras F200 and SR300. It also details several methods for detecting the set of front- and rear-facing camera devices featured in the Intel RealSense SDK.
作者: 最后更新时间: 2018/12/13 - 14:15

Archived - A Comparison of Intel® RealSense™ Front-Facing Camera SR300 and F200

This article compares the new SR300 camera, which is the second generation front-facing Intel® RealSense™ camera, to the older F200 model. SR300 improvements include an infrared (IR) laser projector system, Fast VGA infrared (IR) camera, and a 2MP color camera with integrated ISP. The SR300 model uses Fast VGA depth mode instead of native VGA depth mode that the F200 model uses. Read on for all...
作者: Nhuy L. (Intel) 最后更新时间: 2018/12/13 - 14:15

Archived - Introducing the Intel® RealSense™ Camera SR300

The Intel® RealSense™ camera SR300 is the latest front-facing camera in our product lineup. Intel has added a number of new features and significant improvements to the SR300 over the first-generation Intel® RealSense™ camera F200, including improved depth range, dynamic motion capture with higher quality depth data, decreased power consumption, and increased middleware quality and robustness.
作者: Nhuy L. (Intel) 最后更新时间: 2018/12/13 - 14:15

Archived - Selling your Intel® RealSense™ Apps

So you have created an Intel® RealSense™ app that you are ready to share with the world and possibly monetize, or maybe your app is still in the idea stage. There are several places where you can sell and share your app and even get user feedback on it starting from the concept stage. This article describes available resources.
作者: Foster, Whitney (Intel) 最后更新时间: 2019/01/15 - 16:43

Archived - Helios Headgear Uses Intel® RealSense™ Technology to Empower the Visually Impaired

Using Computer Vision, Artificial Intelligence, and Intel® RealSense™ technology, the Helios project is focused on the development of smart headgear to assist with partial or complete vision loss.The HELIOS headgear provides a series of accessibility features for visually impaired individuals, empowering them to perform actions and tasks with more ease and confidence.
作者: Silviu-Tudor Serban 最后更新时间: 2018/05/30 - 07:00

Archived - Get Ready for Intel® RealSense™ SDK Universal Windows* Platform Apps

The much anticipated Intel® RealSense™ SDK support for developing Universal Windows Platform (UWP) apps has arrived in SDK R5 (v7), and this article will help get you started using the software components, samples, and documentation you’ll need for developing UWP apps that use the Intel® RealSense™ camera (SR300).
作者: Bryan B. (Intel) 最后更新时间: 2019/11/15 - 14:10

Archived - Intel® RealSense™ SDK-Based Real-Time Face Tracking and Animation

Imagine playing a game where avatars display player facial motion in real time. Learn how to accomplish this using the latest Intel® RealSense™ SDK and a consumer-grade RGB-D camera. With code sample.
作者: Sheng G. (Intel) 最后更新时间: 2019/11/19 - 13:32

Archived - RealPerspective: Head Tracking with Intel® RealSense™ Technology

RealPerspective is a code sample that utilizes Intel® RealSense™ technology to create a unique game experience in which the user can move their head around and have the game’s perspective correctly computed. Traditionally this has been done with a RGB camera or IR trackers, but with the Intel RealSense camera’s depth information, the developer is provided accurate face tracking without any...
作者: Yaz Khabiri (Intel) 最后更新时间: 2019/11/20 - 07:26

Java* Parser for Depth Photo

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.
作者: Yu B. (Intel) 最后更新时间: 2019/12/09 - 12:10