24. World Facing
Intel® RealSense™ SDK Modules
Scene
Perception
Enhanced
Photography
Augmented
Reality
Person & Face
Tracking
Gesture
Recognition
Background
Removal
Object
Recognition and
Tracking
Speech
Recognition
3D Object
Scanning
Hand & Blob
Tracking
User Facing
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Intel® RealSense™ SDK
- C++
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Technical Specification
• Required OS •Microsoft Windows* 8.1 or 10 OS 64-bit
•Support for Android* Coming Soon**
• Supported Intel® RealSense™
Cameras
•SR300 – Front-facing
•R200 – Rear-facing
• Supported Languages •C++, JavaScript*
•C# (Microsoft .NET* 4.0 Framework is required)
•Java* (JDK 1.7.0_11 or later)
•Processing* 2.1.2 or later
• IDE used for Samples and Tutorials •Background Segmentation
•3D Object / Face / Room Scanning
•2D/3D Object Tracking
• Supported browsers for JavaScript*
development
•Microsoft Internet Explorer* 10.0.13
•Google Chrome* 33.0.1750.146
•Mozilla Firefox* 27.0.1
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Intel® RealSense™ Driver for Linux & OS X
- C++
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Librealsense
• Features •Multi-camera capture: librealsense can be used with all 3 camera models
(F200, SR300, and R200) and can provide multi-camera capture with
either single or multiple models simultaneously.
•Native streams: depth, color, infrared
•Synthetic streams: rectified images, depth aligned to color and vice
versa, etc.
•Intrinsic/extrinsic calibration information
•Most of the hardware-specific functionality (UVC XU controls)
• Supported OS •Ubuntu 14.04.03 x64 with an updated 4.4 kernel with GCC 4.9 (Other
distros may require a patched uvcvideo driver)
•OS X 10.8. with Clang toolchain
•Windows 8.1 with Visual Studio 2013 Update 5
• https://github.com/IntelRealSense/
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User Facing Technologies
Capabilities Features
• Finger Tracking
• Gesture Recognition
•22-point Hand and Finger Tracking
•Poses and Dynamic Gestures
• Face Tracking
• Face Recognition
•Multiple Face Detection and tracking
•78-point Face Landmarks
•Facial Expressions
•Face Recognition
•Pulse Estimator
• Speech Recognition
• Voice Synthesis
•Command and Control
•Dictation
•Text to Speech
• Segmentation
• 3D Scanning
• Augmented Reality
•Background Segmentation
•3D Object / Face / Room Scanning
•2D/3D Object Tracking
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User Facing Technologies
Capabilities Features
• Finger Tracking
• Gesture Recognition
•22-point Hand and Finger
Tracking
•Poses and Dynamic Gestures
Video here:
https://youtu.be/r42z259-HHE?t=177
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Person Tracking
- Person Detection
- Detect all people within the scene
- Track the same person throughout the session
- Person segmentation
- Rough segmentation
- Remove, fully/partially replace person in the frame
- Body parts detection
- Detect body parts and add virtual accessories in the
frame
- Four points tracking
- Track head, hands and center of mass
- Person Recognition
- Identify specific people