Intel® RealSense™ SDK Architecture
Editorial Note
This article is for our sponsors at CodeProject. These articles are intended to provide you with information on products and services that we consider useful and of value to developers
Introduction
The Intel® RealSense™ SDK is architecturally different from its predecessor, the Intel® Perceptual Computing SDK. If you’re a developer who used the Intel Perceptual Computing SDK for app development, you’ll quickly see that the new SDK provides an enhanced programming model for accessing the modalities through several of the popular application development frameworks. In this article, we highlight some of the key changes that you can expect to see in the Intel RealSense SDK.
Table of Contents
Architecture Overview
The SDK Core, I/O module, and the algorithm modules constitute the foundation of the SDK stack. The SDK Core helps manage application pipeline execution and I/O modules (camera). The algorithm modules constitute the middleware for hand tracking, gesture recognition, face detection, voice detection, and other modalities. The algorithms expose interfaces for application development through app development frameworks—C++, C#, Unity* software, Java*, Processing*, etc. Intel RealSense SDK applications sit on top of this stack (Figure 1).
For app developers familiar with the Intel Perceptual Computing SDK, this improvement will be very obvious. The earlier SDK’s interfaces could only be used with the Unity and Java frameworks (Figure 2).
Most of the SDK functionality was available to the C++/C# developers, which resulted in undue disadvantage to Unity and other application development frameworks. The Intel RealSense SDK addresses this limitation by providing uniform access to the core and middleware capabilities through the specially designed interfaces for each framework. In Figure 3, you can see how the .dll support across all frameworks has been completely redesigned. C++/C# interface is now available through a PInvoke interface compared to the C++/CLI C# wrapper in the Intel Perceptual Computing SDK. On the Unity side, the PXCUPipeline-based interface in the former SDK is replaced by a PInvoke-based C# interface. For Java and Processing frameworks, the PXCUPipeline-based interface is replaced by a completely redesigned JNI wrapper.
Simplified Class Hierarchy
The structure of interfaces in the Intel Perceptual Computing SDK was extremely hierarchical. Performing simple tasks required a long sequence of initialization, configuration, and data retrieval operations. This hierarchical structure is now flatter in the Intel RealSense SDK, allowing for easier access to its modalities and capabilities.
As shown in Figure 4 above, PXC[M]SenseManager replaces the UtilPipeline class of the SDK core. SenseManager is responsible for the organization and management of the execution pipeline. All of the camera devices and streams are managed by the PXC[M]CaptureManager, which replaces the UtilCapture interface in the Intel Perceptual Computing SDK. Note that the PXC[M]Capture interface also allows for simplified depth access. While developers needed to access two separate streams for depth and vertices data in Intel Perceptual Computing SDK, the depth data access mechanism in the Intel RealSense SDK allows developers to access depth and vertices data in the same stream. The PXC[M]Face3D manages the face tracking module replacing the PXC[M]Face interface, and the PXC[M]HandAnalysis performs gesture and hand tracking, replacing the PXC[M]Gesture interface.
Please refer to the next section - API migration guide for more information regarding the capabilities of these modules.
API Migration Guide
In addition to the overall SDK stack that has been redesigned, you will also find that more than 50% of the Intel Perceptual Computing SDK APIs are different in the Intel RealSense SDK. Most of these changes stem from the fact that there is a 3D element to the Intel RealSense SDK that enhances the way some of the existing modalities like hand and face tracking behave. Let’s see some of these enhancements below.
Face Tracking module
In terms of capability, the face tracking module now gives 78 landmark points with pose detection values in 2D and 3D compared to the Intel Perceptual Computing SDK where a maximum of 7 landmark points were available. The introduction of depth adds to the robustness of the data obtained. In addition to this, the Intel Perceptual Computing SDK required a separate configuration for face detection, landmark detection, and face recognition making the entire process of facial analysis very cumbersome. All of these aspects have led to a redesign of the face analysis module and associated APIs. The PXC[M]FaceAnalysis module is now replaced with the PXC[M]Face3D module, which provides a flat structure. The module now just needs to be configured once before obtaining the face detection, landmark detection, pose detection, and face recognition values (see Figure 5).
Hand Tracking Module
The hand tracking module has been significantly enhanced in the Intel RealSense SDK. Compared to the 7 point hand data and 10 standard gestures, the Intel RealSense SDK now provides 22 data points, finger identification, left and right hand identification with orientation and rotation parameters for 3D interaction and a set of standard gestures. The PXC[M]Gesture interface in the Intel Perceptual Computing SDK is now replaced by the PXC[M]HandAnalysis interface for easier hand data access.
Table 1 below summarizes most of the major improvements made to the Intel RealSense SDK. Developers are encouraged to read the SDK Reference manual accompanying the Beta SDK download for more detailed information on each of the APIs within these interfaces.
Table 1. Comparison of Intel® Perceptual Computing SDK and Intel® RealSense™ SDK
Summary
The Intel RealSense SDK provides many advantages over the previous generation Intel Perceptual Computing SDK. Most of the existing modalities like the face and hand tracking algorithms have been enhanced while making improvements to the API access mechanism for most of the supported app development frameworks. The consistency in API access together with the improved middleware creates a very compelling platform for app developers to explore the world of computing using our senses!
Additional Resources
Intel® RealSense™ Technology – Overview: https://software.intel.com/en-us/articles/realsense-overview User Experience Guidelines: https://software.intel.com/en-us/articles/realsense-ux-design-guidelines
Intel, the Intel logo, and Intel RealSense are trademarks of Intel Corporation in the U.S. and/or other countries. Copyright © 2014 Intel Corporation. All rights reserved. *Other names and brands may be claimed as the property of others.
Intel® Developer Zone offers tools and how-to information for cross-platform app development, platform and technology information, code samples, and peer expertise to help developers innovate and succeed. Join our communities for the Internet of Things, Android*, Intel® RealSense™ Technology and Windows* to download tools, access dev kits, share ideas with like-minded developers, and participate in hackathons, contests, roadshows, and local events.
Intel® RealSense™ SDK Architecture的更多相关文章
- Intel RealSense SDK 简翻
:first-child{margin-top:0!important}img.plugin{box-shadow:0 1px 3px rgba(0,0,0,.1);border-radius:3px ...
- 【转】Intel RealSense(实感技术)概览
Intel RealSense(实感技术)概览 1 Reply 版权声明:本文系本站作者自己翻译整理,欢迎转载,但转载请以超链接形式注明文章来源(planckscale.info).作者信息和本声明, ...
- Intel Media SDK H264 encoder GOP setting
1 I帧,P帧,B帧,IDR帧,NAL单元 I frame:帧内编码帧,又称intra picture,I 帧通常是每个 GOP(MPEG 所使用的一种视频压缩技术)的第一个帧,经过适度地压缩,做为随 ...
- 看京东如何把Intel RealSense技术用在物流上
提起Intel RealSense 3D 深度摄像头,总是离不开无人机.机器人等前沿硬件产品,比如 CES 2016 上让人眼前一亮的自动避障无人机Yuneec “台风 H”,Segway.Nineb ...
- ubuntu下安装intel realsense驱动
在安装之前一定要确保系统是ubuntu 14.04.3 64位! 由于一开始安装的是32位系统,导致在升级内核版本到4.4时各种问题,最终靠重装系统解决. 因为intel给出的测试代码均是在64位14 ...
- (转)Integrating Intel® Media SDK with FFmpeg for mux/demuxing and audio encode/decode usages 1
Download Article and Source Code Download Integrating Intel® Media SDK with FFmpeg for mux/demuxing ...
- 利用 Intel Realsense做SLAM开发(一)
最近手里拿到一台Realsense D435,就是这个: https://click.intel.com/intelr-realsensetm-depth-camera-d435.html 所以准备拿 ...
- Getting Started with the Intel Media SDK
By Gael Hofemeier on March 19, 2015 Follow Gael on Twitter: @GaelHof Media SDK Developer’s Guide Med ...
- Intel® Media SDK Media Samples Linux 学习笔记(转)
最近折腾intel media sdk,主要硬件平台是在HD4600的核显上进行测试,intel media sdk是intel提供的一种基于核显的硬件编解码的解决方案,之前已经有使用ffmpeg进行 ...
随机推荐
- php通过curl调用jpush接口实现消息的推送
public function actionNotifyto() { //$regid = $_REQUEST['regid']; $url = 'https://api.jpush.cn/v3/pu ...
- 随机森林与GBDT
前言: 决策树这种算法有着很多良好的特性,比如说训练时间复杂度较低,预测的过程比较快速,模型容易展示(容易将得到的决策树做成图片展示出来)等.但是同时,单决策树又有一些不好的地方,比如说容易over- ...
- 【转】Git 少用 Pull 多用 Fetch 和 Merge
原文网址:http://www.cnblogs.com/flying_bat/p/3408634.html 本文有点长而且有点乱,但就像Mark Twain Blaise Pascal的笑话里说的那样 ...
- SharePoint 2010中列表Add和Delete事件解析
转:http://winsystem.ctocio.com.cn/26/11400026_2.shtml [IT专家网独家撰稿]SharePoint 2010与以前的版本相比,天翻地覆的变化并不为过. ...
- jdbc:oracle:thin:@192.168.3.98:1521:orcl(详解)
整理自互联网 一. jdbc:oracle:thin:@192.168.3.98:1521:orcljdbc:表示采用jdbc方式连接数据库oracle:表示连接的是oracle数据库thin:表示连 ...
- 如何从ST网站找到对应的固件库
ST官方网站改版后,基本上很难搜索到固件库的地址,找了半天才找到固件库的下载地址,通过此方法可以找到其他需要的资源,故记下来方便大家. 下载的网站地址为: Home>Tools and Soft ...
- 关于CodeBlocks中stdc++-6.dll缺失的小问题
前一阵子在用CodeBlocks刷OJ(也并不是什么很难的算法,背包问题而已)时,遇到了个小麻烦,按下F9编译运行(有的人习惯用鼠标去点那个小button,多麻烦啊)后,Windows给我跳出个小窗说 ...
- 【原】Storm实战
3.Storm实战 如何新建一个Storm 项目 本文简要概括如何新建一个Storm项目,步骤如下: 1.添加Storm 相关jar添加到类路径上. 2.如果使用多语言特性,将多语言实现的目录加到cl ...
- XNA Game Studio4.0 Programming 随便读,随便记。
一.精灵和2D图形 1.什么是2D ? 2D可以理解为 two-Dimentionanl , 2-dimentional 的缩写. 意就是两维的,比如 数学中的 直角坐标系 所能描述的就是一个2D的 ...
- Codeforces Round #364 (Div.2) C:They Are Everywhere(双指针/尺取法)
题目链接: http://codeforces.com/contest/701/problem/C 题意: 给出一个长度为n的字符串,要我们找出最小的子字符串包含所有的不同字符. 分析: 1.尺取法, ...