Smart Glasses & Applications. Presenter: Xu Qiu! Advisor: C.-C. (Jay) Kuo!

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Transcription:

Smart Glasses & Applications Presenter: Xu Qiu Advisor: C.-C. (Jay) Kuo 1 1

Outline Introduction Comparison of Smart Glasses Apps for Developing Platform Development and Implementation of Computer Vision Algorithms 2 1

Outline Introduction - Project Introduction - GE90 Jet Engine Repair Comparison of Smart Glasses Apps for Developing Platform Development and Implementation of Computer Vision Algorithms 3 1

From May 2014 http://mcl.usc.edu/news/2014/04/20/media-communications-lab-beginsresearch-projects-with-google-glass/ 4

GE90 Jet Engine Repair https://www.youtube.com/watch?v=ndkqo0pzmqm 5

GE90 Jet Engine Repair Recognize part 6

GE90 Jet Engine Repair Recognize part 7

GE90 Jet Engine Repair Engine status 8

GE90 Jet Engine Repair Recognize someone 9

GE90 Jet Engine Repair Pair with Boroscope 10

GE90 Jet Engine Repair Get directions to 11

GE90 Jet Engine Repair Send/get messages 12

GE90 Jet Engine Repair Task list 13

Outline Introduction Comparison of Smart Glasses - VS Vuzix M100 - Hardware Apps for Developing Platform Development and Implementation of Computer Vision Algorithms 14 1

Comparison Smart Glasses VS Vuzix M100 Vuzix M100 Smart Glasses 15

Vuzix Smart Glasses Display An image visually equivalent to a 4 in. smartphone screen held at a typical 14 in. distance. 16

Hardware Display: Prism projector, 640 360 pixels (equivalent of a 25 in/64 cm screen from 8 ft/2.4 m away) Sound: Bone conduction transducer Input: Voice command through microphone, accelerometer, gyroscope, magnetometer, light sensor, proximity sensor Controller input: Touchpad, MyGlass phone app Camera: Photos 5 MP, videos 720p Connectivity: Wi-Fi, Bluetooth, micro USB Weight: 50g Backward compatibility: - Any Bluetooth-capable phone; - MyGlass app requires Android 4.0.3 + or any ios 7.0 + 17

Hardware 18

Hardware Touchpad: 19

Outline Introduction Comparison of Smart Glasses Apps for - Social network - GDK games - LBS(GPS apps) - Detection/Recognition Apps - Audio apps - Other apps Developing Platform Development and Implementation of Computer Vision Algorithms 20 1

Apps: Social network http://glass-apps.org/google-glass-application-list 21

Apps: GDK games: Missile Beyond http://glass-apps.org/google-glass-application-list 22

Apps: GDK games: GlassCopter http://glass-apps.org/google-glass-application-list 23

Apps: LBS(GPS apps): AR Glass for Wikipedia http://glass-apps.org/google-glass-application-list 24

Apps: SpeedHud http://glass-apps.org/google-glass-application-list 25

Apps: Detection/Recognition Apps http://glass-apps.org/google-glass-application-list 26

Apps: Audio apps: Name This Song: Ok glass, name this song. GlassMusic: search by any song name, artist or album. Other apps: Speech Helper for Glass: Upload your speech draft and slides. Check a battery: check a battery for. http://glass-apps.org/google-glass-application-list 27

Outline Introduction Comparison of Smart Glasses Apps for Developing Platform - GDK - Mirror API Development and Implementation of Computer Vision Algorithms 28 1

Developing platform GDK: Real-time user interaction, offline functionality, access to hardware. 29

Developing platform Mirror API: platform independence, common infrastructure, built-in functionality 30

Outline Introduction Comparison of Smart Glasses Apps for Developing Platform Development and Implementation of Computer Vision Algorithms - Relative Viewing Angle Estimation - Future work 31 1

Development and Implementation of Computer Vision Algorithms: Visual Saliency Determination Relative Viewing Angle Estimation Object Detection 32

Relative Viewing Angle Estimation Moving camera instead of smart glasses Real-time algorithms (CVPR 2013)Real-time Model-based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues, by Karl Pauwels, Leonardo Rubio, Javier D íaz, Eduardo Ros of University of Granada, Spain. 33

Relative Viewing Angle Estimation Real-time Model-based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues Estimating and tracking the six-degrees-of-freedom (6DOF) pose of rigid objects of arbitrary shapes in real-time. - highly accurate and robust to noise and occlusions Problems: -Stereo Camera: -Graphics Processing Units (GPUs) (CVPR 2013)Real-time Model-based Rigid Object Pose Estimation and Tracking Combining Dense and Sparse Visual Cues, by Karl Pauwels, Leonardo Rubio, Javier D íaz, Eduardo Ros of University of Granada, Spain. 34

Relative Viewing Angle Estimation Moving camera instead of smart glasses Real-time algorithms No stereo-camera Multi-target tracking with Single Moving Camera - multi-target tracking - unknown camera motion - did not rely on the use of stereo-camera. http://www.eecs.umich.edu/vision/mttproject.html Object detection: Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part based models. In: PAMI. (2009) 35

Relative Viewing Angle Estimation Multi-target tracking with Single Moving Camera 36

Future work Relative Viewing Angle Estimation - Limitation: Single camera Storage, Computation capacity - Challenges: Moving camera Unknown background - Possible Solutions: Cloud Simply the algorithms Use motion to get 3D information 37

Thank you Comments or Questions? 38