Friday seminar presentation
-
Upload
- -
Category
Technology
-
view
80 -
download
4
Transcript of Friday seminar presentation
![Page 1: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/1.jpg)
Real time robust eye tracking in a large working space
Maria MikhisorApril 2013
![Page 2: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/2.jpg)
Outline
• Why is this problem worth studying?• The Watching Window project• The eye tracking algorithm requirements• Eye detection and tracking methods• What I have done so far
![Page 3: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/3.jpg)
Why is this problem worth studying?
• It hasn’t been done before (as far as I know)
• The resulting algorithm can be used in deep-immersion virtual reality systems (e.g. the Watching Window project) and possibly other applications
![Page 4: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/4.jpg)
The concept of the Watching Window
![Page 5: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/5.jpg)
The concept of the Watching Window
![Page 6: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/6.jpg)
Eye tracking algorithm requirements
• Accurate• Fast (25-30 fps, <40 ms for 1 frame)• It should allow the user to move freely in the
working area (0-5 meters)• No head-mounted devices• Independent or only slightly dependent on
background and lighting conditions• Tolerant to glasses, diff. hair styles, skin color,
etc.
![Page 7: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/7.jpg)
Eye detection and tracking methods
• Shape methods• Appearance methods• Features methods• IR reflection• … The main disadvantage:
Almost all these methods need high-resolution images of the face area in the frontal pose.
![Page 8: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/8.jpg)
What I have done so far?
• Stereo cameras calibration for two fisheye cameras
![Page 9: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/9.jpg)
Fisheye camera calibration
For one camera calibration, I used the Scaramuzza Matlab toolbox.
![Page 10: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/10.jpg)
Reprojection error
• The average reprojection error is 0.692924
![Page 11: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/11.jpg)
Stereo calibration
The essential matrix: E=R[t]x
The epipolar constraint: xRTExL=0
![Page 12: Friday seminar presentation](https://reader030.fdocuments.in/reader030/viewer/2022032618/55b604f0bb61ebe0438b45b9/html5/thumbnails/12.jpg)
Triangulation
Simple way: find the middle of the common perpendicular