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Introduction

Date post: 31-Dec-2015
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Introduction. TYWu. Applications. Games Microsoft Kinect. Motion Sensor. Applications. Games Microsoft Kinect. Face Recognition. Applications. Games Microsoft Kinect. Voice Recognition. Applications. Microsoft Kinect Intelligent Sensing. Applications. Microsoft Kinect - PowerPoint PPT Presentation
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Introduction TYWu
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Page 1: Introduction

Introduction

TYWu

Page 2: Introduction

Applications

• Games– Microsoft Kinect

Motion Sensor

Page 3: Introduction

Applications

• Games– Microsoft Kinect

Face Recognition

Page 4: Introduction

Applications

• Games– Microsoft Kinect

Voice Recognition

Page 5: Introduction

Applications

• Microsoft Kinect– Intelligent Sensing

Page 6: Introduction

Applications

• Microsoft Kinect– Intelligent Recognition

Page 7: Introduction

Applications

• YouTube– http://www.youtube.com/watch?v=Mf44bWQr

3jc

Page 8: Introduction

Applications

• Vehicles– Volvo collision avoidance

Page 9: Introduction

Applications

• Continental

Page 10: Introduction

Applications

• YouTube– http://www.youtube.com/watch?v=X9X9YGBc

2XM

Page 12: Introduction

Applications

• AR. Drone

Page 13: Introduction

Applications

• AR. Drone

Page 14: Introduction

Applications

• AR. Drone

Page 15: Introduction

Applications

• AR. Drone

Page 16: Introduction

Applications

• YouTube– http://www.youtube.com/watch?v=1U4CpojO9

hM

Page 17: Introduction

Applications

• My Projects– http://www.youtube.com/watch?v=ai2RiGMyV

08– http://www.youtube.com/watch?v=pQId5kMK0

zY

Page 18: Introduction

Pattern Recognition

• LBP: Local Binary Pattern

Page 19: Introduction

Pattern Recognition

• LBP: Local Binary Pattern

Page 20: Introduction

OpenCV

• OpenCV (Open Source Computer Vision Library)– library of programming functions

mainly aimed at real-time computer vision

– developed by Intel– now supported by Willow Garage

and Itseez. – It is free for use

Page 21: Introduction

Processing

• http://processing.org/• Library

– $1 Unistroke Recognizer

• designed for rapid prototyping of gesture-based user interfaces

– OpenCV

Page 22: Introduction

Handwritten Digit Recognition

• Statistical approach– histograms of various digits, it is possible

to differentiate between them.

Page 23: Introduction

Handwritten Digit Recognition

• First I draw 5 horizontal rays through the image (spacing is determined on the fly, depending on size of cropped image). The number of intersections along each ray is

recorded.• Similarly 5 vertical rays are shot and

recorded...

Page 24: Introduction

Handwritten Digit Recognition

• Example


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