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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.
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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 • 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 • Ubuntu 12.04 • C/C++ • OpenCV 2.4
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.