- Volume 20 Issue 2
The natural moving objects are the most non-rigid shapes with randomly time-varying deformation, and its types also very diverse. Methods of non-rigid shape reconstruction have widely applied in field of movie or game industry in recent years. However, a realistic approach requires moving object to stick many beacon sets. To resolve this drawback, non-rigid shape reconstruction researches from input video without beacon sets are investigated in multimedia application fields. In this regard, our paper propose novel CPSRF(Chained Partial Stereo Rigid Factorization) algorithm that can reconstruct a non-rigid 3D shape. Our method is focused on the real-time reconstruction of non-rigid 3D shape and motion from stereo 2D video sequences per frame. And we do not constrain that the deformation of the time-varying non-rigid shape is limited by a Gaussian distribution. The experimental results show that the 3D reconstruction performance of the proposed CPSRF method is superior to that of the previous method which does not consider the random deformation of shape.
non-rigid shape;2D-3D conversion;stereo camera;SVD;3D TV
- C. Fehn, P. Kauff, M. Op de Beeck, F. Ernst, W. I.Jsselsteijn, M. Polleys, L. Van Gool, E. Ofek and I. Sexton, "An Evolutionary and Optimized Approach on 3D-TV," in Proceeding of IBC2002, pp.357-365, 2002.
- M. op de Beeck, P. Wilinski, C. Fehn, P. Kauff, W. I.Jsselsteijn, M. Polleys, L. Van Gool, E. Ofek and I. Sexton, "Towards an Optimized 3D Broadcast Chain," in Proceeding of SPIE ITCom2002, pp.357-365, 2002.
- S. Kunic,Z. Sego, "3D television," in Proceeding of ELMAR2011, pp.127-131, 2011.
- Y. Feng, J. Ren, J. Jiang , "Object-Based 2D-to-3D Video Conversion for Effective Stereoscopic Content Generation in 3D-TV Applications," IEEE Transactions on Broadcasting, vol.57-2-2, pp.500-509, Jun. 2011. https://doi.org/10.1109/TBC.2011.2131030
- L, Zhang, C. Vazquez, S. Knorr, "3D-TV Content Creation: Automatic 2D-to-3D Video Conversion," IEEE Transactions on Broadcasting, vol.57-2-2, pp.372-383, Jun. 2011. https://doi.org/10.1109/TBC.2011.2122930
- C. Bregler, A. Hertzmann, and H. Biermann. "Recovering non-rigid 3d shape from image streams," in Proceeding of CVPR2000, pp.690-696, 2000.
- C. Tomasi and T. Kanade, "Shape and motion from image streams under orthography: A factorization method," International Journal of Computer Vision, vol.9, no.2, pp.137-154, Nov. 1992. https://doi.org/10.1007/BF00129684
- J. Xiao, J. Chai, and T. Kanade, "A Closed-Form Solution to Non-rigid Shape and Motion Recovery," in Proceeding of CVPR2004, pp.573-587, 2004.
- Z. Ghahramani and G. E. Hinton, "The EM Algorithm for Mixtures of Factor Analyzers," University of Toronto, Toronto: CA, Technical Report CRG-TR-96-1, 1996.
- Lorenzo Torresani, Aaron Hertzmann and Christoph Bregler, "Learning Non-Rigid 3D Shape from 2D Motion," in Proceeding of NIPS2004, pp.1555-1562, 2004.
- A. Gruber and Y. Weiss, "Factorization with Uncertainty and Missing Data : Exploiting Temporal Coherence," in Proceeding of NIPS2003, pp.1507-1514, 2003.
- J. Starck and A. Hilton. "Surface capture for performance based animation," Computer Graphics and Applications, vol.27(3), pp.21-31, May-Jun. 2007.
- C. Wu, C. Stoll, L. Valgaerts, and C. Theobalt. "On-set performance capture of multiple actors with a stereo camera," ACM Transaction on Graph, vol.32(6) article no.161, Nov. 2013.