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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 91))

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Abstract

3D modeling is an emerging trend both in the areas of machine vision and computer graphics. With the current 3D modeling systems the user can virtually travel around a scene and see the foreground objects. A 3D model would be more realistic if the user could also go into the depth of a scene from a specific view and see the obscured objects as well as foreground objects. The aim of this paper is to present a new scheme of 3D modeling which capable of segmenting a specific view of a scene into depth-wise multiple layers followed by layer peeling. The previous works in the area of depth-wise segmentation is reviewed in detail. Later the issue of layer peeling which is causing holes in the residual image is discussed and the solutions to the problem are reviewed exhaustively.

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References

  1. Scharstein, D., Szeliski, R.: A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms. International Journal of Computer Vision 47, 7–42 (2002)

    Article  MATH  Google Scholar 

  2. Hannah, M.J.: Computer Matching of Areas in Stereo Images, Ph.D. Thesis, Stanford University (1974)

    Google Scholar 

  3. Barron, J.L., et al.: Performance of optical flow techniques. International Journal of Computer Vision 12, 43–77 (1994)

    Article  Google Scholar 

  4. Bergen, J., et al.: Hierarchical model-based motion estimation. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 237–252. Springer, Heidelberg (1992)

    Google Scholar 

  5. Quam, L.: Hierarchical warp stereo. In: Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, pp. 80–86 (1984)

    Google Scholar 

  6. Szeliski, R., Coughlan, J.: Spline-Based Image Registration. International Journal of Computer Vision 22, 199–218 (1997)

    Article  Google Scholar 

  7. Seitz, S.M., et al.: A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms. In: CVPR, pp. 519–528 (2006)

    Google Scholar 

  8. Seitz, S.M., Dyer, C.R.: Photorealistic Scene Reconstruction by Voxel Coloring. International Journal of Computer Vision 35, 151–173 (1999)

    Article  Google Scholar 

  9. Vogiatzis, G., et al.: Multi-view stereo via volumetric graph-cuts. In: CVPR, vol. 2, pp. 391–398 (2005)

    Google Scholar 

  10. Bradley, D., et al.: Accurate multi-view reconstruction using robust binocular stereo and surface meshing. In: CVPR, pp. 1–8 (2008)

    Google Scholar 

  11. Merrell, P., et al.: Real-Time Visibility-Based Fusion of Depth Maps. In: IEEE 11th International Conference on Computer Vision, ICCV 2007, pp. 1–8 (2007)

    Google Scholar 

  12. Pollefeys, M., et al.: Visual Modeling with a Hand-Held Camera. International Journal of Computer Vision 59, 207–232 (2004)

    Article  Google Scholar 

  13. Reid, I., Connor, K.: Multiview segmentation and tracking of dynamic occluding layers. Image and Vision Computing 28, 1022–1030 (2010)

    Article  Google Scholar 

  14. Oo, T., et al.: The separation of reflected and transparent layers from real-world image sequence. Machine Vision and Applications 18, 17–24 (2007)

    Article  Google Scholar 

  15. Shade, J., Gortler, S.J., He, L.-w., Szeliski, R.: Layered depth images. Computer Graphics (SIGGRAPH 1998), pp. 231–242 (1998)

    Google Scholar 

  16. Chang, C.-F., Bishop, G., Lastra, A.: LDI tree: a hierarchical representation for image-based rendering. In: Computer Graphics (SIGGRAPH 1999), pp. 291–298 (1999)

    Google Scholar 

  17. Zhigang, Z.: 3D LAMP: a New Layered Panoramic Representation, pp. 723–723 (2001)

    Google Scholar 

  18. Lee, S., et al.: Depth-of-field rendering with multiview synthesis. In: SIGGRAPH Asia 2009, pp. 1–6 (2009)

    Google Scholar 

  19. Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: SIGGRAPH 2000, pp. 417–424 (2000)

    Google Scholar 

  20. Ballester, C., et al.: Filling-in by joint interpolation of vector fields and gray levels. IEEE Transactions on Image Processing 10, 1200–1211 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  21. Zhu, S.C., et al.: Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling. International Journal of Computer Vision 27, 107–126 (1998)

    Article  Google Scholar 

  22. Criminisi, A.: Object Removal by Exemplar-Based Inpainting, pp. 721–721 (2003)

    Google Scholar 

  23. Criminisi, A., et al.: Region filling and object removal by exemplar-based image inpainting. IEEE Transactions on Image Processing 13, 1200–1212 (2004)

    Article  Google Scholar 

  24. Cheung, V., et al.: Video epitomes. In: CVPR, vol. 1, pp. 42–49 (2005)

    Google Scholar 

  25. Zhang, Y., et al.: Motion Layer Based Object Removal in Videos. In: WACV/MOTIONS 2005, pp. 516–521 (2005)

    Google Scholar 

  26. Vijay Venkatesh, M., et al.: Efficient object-based video inpainting. Pattern Recognition Letters 30, 168–179 (2009)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Mirkamali, S.S., Nagabhushan, P. (2011). Depth-Wise Multi-layered 3D Modeling. In: Abraham, A., Corchado, J.M., González, S.R., De Paz Santana, J.F. (eds) International Symposium on Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19934-9_52

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  • DOI: https://doi.org/10.1007/978-3-642-19934-9_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19933-2

  • Online ISBN: 978-3-642-19934-9

  • eBook Packages: EngineeringEngineering (R0)

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