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2D to 3D Conversion Using 3D Database For Football Scenes. Kiana Calagari Final Project of CMPT880 July 2013. Why 2D to 3D?. 3D-TVs are available, but… It takes time for enough 3D videos to be produced Generating 3D content is so time consuming and needs expensive equipment - PowerPoint PPT Presentation
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2D to 3D Conversion Using 3D Database For Football Scenes
Kiana Calagari
Final Project of CMPT880
July 2013
Why 2D to 3D?• 3D-TVs are available, but…
It takes time for enough 3D videos to be produced
Generating 3D content is so time consuming and needs expensive equipment
There is a large library of current 2D videos
Using 3D Database
2D Query :
3D Dataset :
?
How?• 5 Nearest Neighbours Using HOG descriptors
How?• Warping Using SIFT-flow
How?• Initial Depth Map
Median of the Candidates
How?• Cross Bilateral Filtering
Smoothing, While preserving the edges
Final Result
Results
My New Idea • Instead of estimating the depth itself from the
dataset . . . Estimate its orientation and depth gradients !
Since we’re finding similar images based on gradients
References • J. Konrad, G. Brown, M. Wang, P. Ishwar, C. Wu and D. Mukherjee, “Automatic 2D-to-3D image conversion using
3D examples from the Internet”, Proc. SPIE Stereoscopic Displays and Applications, vol. 8288, pp.1, 2012
• J. Konrad, M. Wang and P. Ishwar, “2d-to-3d image conversion by learning depth from examples”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , pp 16-22, 2012, IEEE
• K. Karsch, C. Liu and S.B. Kang, “Depth extraction from video using non-parametric sampling”, Computer Vision--ECCV 2012, pp 775-788, 2012, Springer
• C. Liu, J. Yuen and A. Torralba, “Sift flow: Dense correspondence across scenes and its applications”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, no.5, pp978-994, 2011, IEEE