142 Search Results

Refine by

    Results for:

Using the Intel® NUC 8 in VR and Fulldome for Immersive Multimedia Experiences

This article will show how the technology of the NUC 8 can successfully integrate with the projection technology of the full dome and VR in a number of ways. TouchDesigner, and the RealSense camera will be used. The principles of good dome and VR cinematography as well as interactivity and depth...

Photogrammetry and Volumetric Capture

This article compares volumetric capture and photogrammetry, and takes a deeper dive into technical specifications, package sizes, capture options, computing needs, and cost analysis. It also looks at the benefits and complexity of each style and its use cases, as well as the engagement and...

Expand the Possibilities of Computer Vision with AI

Published on June 26, 2018

Learn about the exciting innovations that applications of AI can bring to computer vision through the story of an Intel® Innovator.

How to Get Started Developing for Automated Driving

Published on December 13, 2016, updated December 12, 2017

From safe roads to enjoyable commutes, automated driving is poised to change lives and society for the better.

As the car moves to the center of the autonomous world, developers will be tasked with creating...

Driver Recognition and Fatigue Detection Systems with Devices Powered by Intel

Published on December 5, 2017

This article discusses fatigue detection systems. These systems are designed to alert a driver when fatigue behavior is detected. When deployed in automobiles, the system can help to reduce the number of accidents caused by driver fatigue. An additional use of the system is driver identification....

Build an Autonomous Mobile Robot with the Intel® RealSense™ Camera, ROS*, and SAWR

The Simple Autonomous Wheeled Robot (SAWR) project defines the hardware and software required for a basic "example" robot capable of autonomous navigation using the Robot Operating System* (ROS*) and an Intel® RealSense™ camera. In this article, we give an overview of the SAWR project and also...

Optimizing Edge-Based Intelligence for Intel® HD Graphics

Published on July 31, 2017

What we call deep learning is typically associated with servers, the cloud, or high-performance computing. We are witnessing a reshuffling of compute partitioning between cloud data centers and clients in favor of moving applications of deep learning models to the client.

Intel® RealSense™ Cross Platform API (librealsense) Get Started Guide

Last updated: July 28, 2017

Intel RealSense Cross Platform API (librealsense) is a cross-platform library for Linux, Windows, and Mac for capturing data from the Intel RealSense F200, SR300, R200, LR200 and ZR300 cameras. This effort was initiated to better support...

Intel® RealSense™ SDK for Linux Get Started

Last updated: July 28, 2017

The instructions in this Get Started Guide will help get you started to quickly use the SDK.

Intel® RealSense™ SDK for Linux Developer Guide

Last updated: July 28, 2017

The Intel RealSense SDK for Linux provides libraries, tools and samples to develop applications using Intel RealSense cameras by using the librealsense API. The SDK provides functionality of record and playback of camera streams for test and...

Intel® RealSense™ for Linux - Person Library Documentation

Last updated: July 28, 2017

The Person Library for Intel® RealSense™ provides the ability to sense and recognize people, understand what they do, and interact with them.

Intel® RealSense™ for Linux - Object Library Documentation

Last updated: July 28, 2017

The Object Library middleware for Intel® RealSense™ gives machines the ability to understand what they are looking at, in other words, imparting meaning to the vision the Intel RealSense cameras provide. This ability allows for more dynamic human...