1. 1 Developing a 2.5-D video avatar Tamagawa, K.; Yamada, T.; Ogi, T.; Hirose, M.; Signal Processing Magazine, IEEE Volume 18, Issue 3, May 2001 Page(s):35 - 42 Speaker: 許欽和 DATE:2001/03/30

2. 2 Outline Introduction The proposed scheme Experiment and experimental result Conclusion

3. 3 Introduction Immersive projection technology –computer augmented booth for image navigation (CABIN) –CAVE –COSMOS

4. 4 CABIN

5. 5 CAVE Graphics by Milana Huang, University of Illinois at Chicago

6. 6 The user’s positional relationship can be shared in virtual space. The user’s facial expression cannot be transmitted.

7. 7 Communications in the field of computer supported cooperative work –For example :webcam the communication space are 2-D,and the positional relationship between the users cannot be changed

8. 8 3-D information transmit 3-D information –user’s spatial position –gestures 3-D collaborative workspace –high quality of presence

9. 9 2.5-D video avatar developed a 2.5-D video avatar method –depth information from stereo cameras linked between CABIN and COSMOS

10. 10 2-D Video Avatar(1/2) 2-D Video Avatar –It is a requirement of networked immersive projection environments

11. 11 2-D Video Avatar(2/2) IN CABIN

12. 12 The proposed scheme 2.5-D Video Avatar –Real-time modeling –Using stereo cameras A surface model of the user is formed using the depth information obtained in all directions –The distortion of the image appears to be small

13. 13 Switching the surface model

14. 14 Depth Map by Stereo Camera Triclops stereo camera system –Has three lenses using two baselines horizontally and vertically –Rectified image –Depth map

15. 15 Images generated by stereo camera

16. 16 Generation of 2.5-D Video Avatar 2.5-D video avatar is generated by texture- mapping the color image onto the triangular mesh.

17. 17 The process of making a 2.5-D video avatar (1) determined in the camera’s coordinate system for each pixel in the depth map (2) triangular mesh is created from the coordinates (3) just the user’s image is segmented from the background

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20. 20 Switching Multiple Cameras

21. 21 Switching Camera

22. 22 Implementation of 2.5-D Video Avatar

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24. 24 Application of 2.5-D Video Avatar

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26. 26 Experiment

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28. 28 Experimental result

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32. 32 Conclusion we experimentally evaluated the accuracy of pointing when using the 2.5-D video avatar Improving –reality of the image –time lag –refresh rate of the video avatar

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