1. Anaglyph Videos Student:Jihaad Pienaar Supervisor: Mr Mehrdad Ghaziasgar Co-Supervisor:Mr James Connan Mentors: Mr Roland Foster & Mr Kenzo Abrahams

2. Overview RECAP DESIGN DECISIONS AND SYSTEM CHANGES IMPLEMENTATION TOOLS USED PROJECT PLAN DEMO

3. Recap A system which allows users to convert 2D videos into an Anaglyph 3D equivalent.

4. Recap We were able to convert a stereoscopic 2D image into a 3D equivalent using an algorithm by Eric Dubois.

5. Design Decisions And System Changes

6. Disseminate video into frames. Use a depth map to produce left and right frame. Feed left and right frame into Dubois algorithm to produce 3D frame. Put frames back together to create 3D video

7. Implementation

8. Get the frame

9. Implementation Each frame we want to produce a depth map

11. Implementation Foreground extraction 4 th order moments

12. Implementation Fill holes

13. Implementation Determine background depth by creating a similar image but for blurred regions.

14. Implementation Generate stereoscopic pair Left Right

15. Tools Used

16. Ubuntu 12.04 C/C++ OpenCV 2.4

17. Project Plan

18. Completed Gather Requirements and Analysis Whilst learning Image processing techniques in Open CV as well as researching 3D in general Completed Design and development of the prototype Prototype should be able to convert video into 3D equivalent. Completed Coding the final application Term 4 Testing and Evaluation

19. Demo

25. Questions

26. References Bradski, G., & Kaehler, A., 2008. “Learning OpenCV. United States of America: O’Reilly Media, Inc.”, pp. 8-30 Changick, K., Jungwoo, P., Jaeho, L. & Jenq-Neng, H., 2007. Fast Extraction of Objects of Interest from Images with Low Depth of Field. ETRI, 29(3), pp. 353-363. Jaeseung, K., Manbae, K. & Changick, K., 2007. 2D-To-3D Stereoscopic Conversion: Depth-Map Estimation in a 2D Single- View Image. Applications of Digital Image Processing XXX, pp. 1-9.