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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.
Authored by Yu B. (Intel) Last updated on 05/30/2018 - 07:00
Article

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...
Authored by Yaz Khabiri (Intel) Last updated on 12/13/2018 - 14:15
Article

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.
Authored by Last updated on 05/30/2018 - 07:00
Article

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.
Authored by Last updated on 12/13/2018 - 14:15
Blog post

Archived - What could you do with Intel RealSense Cursor Mode?

Information on the new, highly responsive Cursor Mode option for the Intel RealSense SR300 user facing camera.
Authored by Last updated on 05/30/2018 - 07:00
Article

Java*-парсер для фотографий с поддержкой глубины

Java*-парсер для фотографий с поддержкой глубины обрабатывает файлы изображений в формате XDM (eXtensible Device Metadata) и извлекает метаданные, внедренные в файлы изображений, создавая XML-файлы. Кроме того, это приложение анализирует XML-файлы, извлекая из них данные цветных изображений и данные карт глубины. Это основа для использования фотографий с поддержкой глубины, например для просмотра...
Authored by Last updated on 05/30/2018 - 07:00
Article

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...
Authored by Nhuy L. (Intel) Last updated on 12/13/2018 - 14:15
Blog post

Archived - Interview with Developer at Global Game Jam Yogyakarta: Creating Intel® RealSense™ Game within 48 Hours

The Intel® RealSense™ SDK has been discontinued. No ongoing support or updates will be available.

Authored by Aulia F. (Blackbelt) Last updated on 05/30/2018 - 07:08
Article

Archived - How to Migrate Intel® RealSense™ SDK R4 (v6.0) Hand Mode Functionality to Intel RealSense SDK 2016 R1 Cursor Mode

This tutorial highlights code changes that developers will have to make in order to exploit the Cursor Mode capability available in the Intel® RealSense™ SDK 2016 R1.
Authored by RudyC (Intel) Last updated on 12/13/2018 - 14:15
Video

已归档 - 英特尔® 实感™ 3D 扫描代码示例演示

英特尔® 实感™ 技术采用了专为提供类人感官能力而设计的摄像头,主要侧重于画面和声音。 摄像头模块包含一个彩色摄像头和一个景深摄像头、一个用于同景深摄像头配合使用的红外线激光发射器,以及两个用于语音识别的麦克风。

Authored by Bryan B. (Intel) Last updated on 11/08/2017 - 16:09