Anaglyph Videos

Student: Jihaad PienaarSupervisor: Mr Mehrdad Ghaziasgar Co-Supervisor: Mr James ConnanMentors: 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

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

Implementation

• Get the frame

Implementation

• Each frame we want to produce a depth map

Implementation

• Foreground extraction• 4th 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

Tools Used

• Ubuntu 12.04

• C/C++

• OpenCV 2.4

Project Plan

Project Plan

Completed

Gather Requirements and AnalysisWhilst learning Image processing techniques in

Open CV as well as researching 3D in general

Completed

Design and development of the prototypePrototype 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., 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.