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.
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.
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.
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...
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...
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.
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.
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.
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...
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.
