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

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

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

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

Design Decisions And System Changes

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

Implementation

Get the frame

Implementation Each frame we want to produce a depth map

Implementation Foreground extraction 4 th order moments

Implementation Fill holes

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

Implementation Generate stereoscopic pair Left Right

Tools Used

Ubuntu C/C++ OpenCV 2.4

Project Plan

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

Demo

Questions

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