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2D to 3D Conversion Using 3D Database For Football Scenes

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

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2D to 3D Conversion Using 3D Database For Football Scenes

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  1. 2D to 3D ConversionUsing 3D DatabaseFor Football Scenes KianaCalagari Final Project of CMPT880 July 2013

  2. 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

  3. Using 3D Database 3D Dataset : ? 2D Query :

  4. How? • 5 Nearest Neighbours Using HOG descriptors

  5. How? • Warping Using SIFT-flow

  6. How? • Initial Depth Map Median of the Candidates

  7. How? • Cross Bilateral Filtering Smoothing, While preserving the edges

  8. Final Result

  9. Results

  10. 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

  11. 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

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