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.
Abstract
This set of code samples was created to be used during the Brazilian Intel RealSense Hands-on Labs to make it easier for the participants to understand how to use the Intel® RealSense™ SDK. The 12 samples use the C# SDK wrapper and provide simple, console-based apps that print the information available from the RealSense modalities including face and hand tracking and speech recognition. Also, there are two WPF apps showing how to display the camera streams and how to achieve background subtraction .
Introduction
As part of preparation for the Hands-On Labs Brazil, we created 12 code samples with instructions to show how to leverage Intel RealSense voice and camera capabilities with simple examples. The code is commented (in English) and can be freely shared with the worldwide developers’ community.
The samples were implemented using C# and are basically simple console applications that show how to use the RealSense SDK functionalities. The code has been tested with the Intel RealSense SDK R2 (RSSDK).
We hope you enjoy our contribution and if you have any questions or need help, please use the comments section below.
Pre-Requisites to Run the Samples
Important Intel RealSense Documentation Links
Available Samples
Camera Calibration Library
Camera Calibration is a library project that receives a device and a modality and makes the proper calibration to improve the quality of the camera recognition for that specific mode, for example hand tracking.
Reference Links:
Device
The Device sample makes device enumeration possible. Select a device and get the available streams and set device configurations. Note: this sample uses the Camera Calibration Library to configure the devices.
Reference Links:
Emotion
The Emotion sample lists emotions using SenseManager with a procedural implementation. This sample finds all the emotion data and prints each one along with its intensity value.
Reference Links:
Emotion with Callback
The Emotion with Callback sample has the same functionality as the Emotion sample, but with a different implementation. It shows how to use handlers in the RSSDK to get module data. It uses the Emotion module, but can be implementated with other modules.
Reference Links:
Face
Face is a sample that implements some of the various functionalities of the Face module. It uses the PXCMFaceData object and processes information separately as listed in the functionalities below:
Reference Links:
- Detection - Prints X, Y, width, and height from a detected face;
- Expressions - Prints all detected expressions (one-by-one) with their intensity from a detected face;
- Landmarks - Prints all (max 78) landmarks from a detected face;
- Pose - Prints X, Y, Z Euler Angles from a detected head.
Face Recognition
The Face Recognition sample detects a face and checks if the user is already registered. When the program detects a face that is not registered, the user can press the space bar to register their face in the database (in memory).. After registration, the sample prints the unique identifier of the recognized face.
Reference Links:
Hands
The Hands sample tracks hands, fingers and gestures. The sample prints how many hands are detected and their positions (image and world), body sides, joints and detected gestures.
Reference Links:
Object Tracking
The Object Tracking sample detects a 2D object using the Intel RealSense SDK. It uses JPEG/PNG markers, and tracks X, Y, and Z positions as the object is tracked by the camera. Note: This sample requires that the camera is calibrated with a specific tag.
Reference Links:
Segmentation
The Segmentation sample uses the WPF structure to display the camera stream on a WPF form and uses the Segmentation feature to remove the image background.
Reference Links:
Speech Recognition
The Speech Recognition sample shows how to use both Speech Recognition modes: DICTATION or COMMAND. In dictation mode, it recognizes all words that users are saying and prints them on the screen. In Command mode, the program sets a standard dictionary and when the user says one of added commands, it prints it on the screen.
Speech Synthesis
The Speech Synthesis sample is an implementation of the text-to-speech capability of the Intel RealSense SDK. When a sentence is made available in the profile, it converts the sentence to audio and plays it.
Reference Links:
Streams
IR stream view (notice the effect from the outside lighting in the background.)
The Streams samples uses the RSSDK to display the Creative Camera streams (Color, Depth and Infrared) into a WPF form. The sample selects a stream by its type and shows a window with the selected camera stream, updating the image frame-by-frame in the selected FPS configuration.
Reference Links:
Download the Samples
To experiment with these samples and learn more about how use the Intel RealSense SDK, please download the code from here. .
About Intel® RealSense™ Technology
To get started and learn more about the Intel RealSense SDK for Windows, go to https://software.intel.com/en-us/realsense/intel-realsense-sdk-for-windows.
About the Authors
João is a Software Analyst Intern in the Developers Relations Division Brazil. He is studying Information Systems at University of São Paulo and is a Software Developer working mainly with mobile platforms, web applications and RealSense.
Felipe is an Intel RealSense Technical Evangelist in the Developers Relations Division Brazil. He studied Computer Engineering and worked with different technologies, platforms and programming languages during his career. His main interests are game development, mobile platforms and HTML5.
Intel is inside more and more Android devices, and we have tools and resources to make your app development faster and easier.
Submit an article or tip
