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Coverage Field Analysis to the Quality of Light Field Rendering

  • Changjian Zhu
  • Li Yu
  • Peng Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8326)

Abstract

In light field rendering (LFR), the geometric configuration of cameras concerns the rendering quality of virtual views. A mathematical model of coverage field (CF) is proposed in this paper to quantify the relationship between the rendering quality and the geometric configuration of cameras. We analyze the impact of changes in CF with the rendering quality by a set of positions of the virtual views and the geometric configuration of cameras. An optimization algorithm is also presented to optimize the geometric configuration of cameras with the help of CF. The experimental results show that the proposed CF can effectively quantify the quality of LFR, and can be used to optimize the geometric configuration of cameras.

Keywords

Light field rendering coverage field geometric configuration rendering quality 

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References

  1. 1.
    Levoy, M., Hanrahan, P.: Light Field Rendering. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 31–42. ACM Press, New York (1996)Google Scholar
  2. 2.
    Zhang, C., Chen, T.: Active rearranged Capturing of Image-Based Rendering Scenes-Theory and Practice. IEEE Transactions on Multimedia 9(3), 520–531 (2007)CrossRefGoogle Scholar
  3. 3.
    Werner, T., Hlavac, V., Leonardis, A., Pajdla, T.: Selection of Reference Views for Image-based Representation. In: 13th International Conference on Pattern Recognition, pp. 73–77. IEEE Press, Vienna (1996)CrossRefGoogle Scholar
  4. 4.
    Fleishman, S., Cohen-Or, D., Lischinski, D.: Automatic Camera Placement for Image-Based Modeling. Computer Graphics Forum 19(2), 101–110 (2000)CrossRefzbMATHGoogle Scholar
  5. 5.
    Vaish, V., Wilburn, B., Joshi, N., Levoy, M.: Using Plane+Parallax for Calibrating Dense Camera Arrays. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1–2. IEEE Press, Washington (2004)Google Scholar
  6. 6.
    Lin, Z., Wong, T.T., Shum, H.Y.: Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction. International Journal of Computer Vision 49(2-3), 229–246 (2002)CrossRefzbMATHGoogle Scholar
  7. 7.
    Gao, Y., Wang, M., Tao, D., Ji, R., Dai, Q.: 3D Object Retrieval and Recognition with Hypergraph Analysis. IEEE Transactions on Image Processing 9(21), 4290–4303 (2012)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Gao, Y., Tang, J., Hong, R., Yan, S., Dai, Q., Zhang, N., Chua, T.S.: Camera Constraint-Free View-Based 3D Object Retrieval. IEEE Transactions on Image Processing 4(21), 2269–2281 (2012)CrossRefMathSciNetGoogle Scholar
  9. 9.
    Gao, Y., Wang, M., Zha, Z., Tian, Q., Dai, Q., Zhang, N.: Less is More: Efficient 3D Object Retrieval with Query View Selection. IEEE Transactions on Multimedia 5(11), 1007–1018 (2011)CrossRefGoogle Scholar
  10. 10.
    Gao, Y., Dai, Q., Zhang, N.Y.: 3D Model Comparison Using Spatial Structure Circular Descriptor. Pattern Recognition 43(3), 1142–1151 (2010)CrossRefzbMATHGoogle Scholar
  11. 11.
    Shen, J., Shepherd, J., Cui, B., Tan, K.L.: A Novel Framework for Efficient Automated Singer Identification in Large Music Databases. ACM Transactions on Information Systems (TOIS) 27(3), 18 (2009)CrossRefGoogle Scholar
  12. 12.
    Ji, R., Yao, H., Liu, W., Sun, X., Tian, Q.: Task-dependent Visual-codebook Compression. IEEE Transactions on Image Processing 21(4), 2282–2293 (2012)CrossRefMathSciNetGoogle Scholar
  13. 13.
    Ji, R., Duan, L.Y., Chen, J., Yao, H., Yuan, J., Rui, Y., Gao, W.: Location Discriminative Vocabulary Coding for Mobile Landmark Search. International Journal of Computer Vision 96(3), 290–314 (2012)CrossRefzbMATHGoogle Scholar
  14. 14.
    Liu, Q., Yang, Y., Ji, R., Gao, Y., Yu, L.: Cross-view Down/up-sampling Method for Multiview Depth Video Coding. IEEE Signal Processing Letters 19(5), 295–298 (2012)CrossRefGoogle Scholar
  15. 15.
    Yang, Y., Liu, Q., Ji, R., Gao, Y.: Dynamic 3d Scene Depth Reconstruction Via Optical Flow Field Rectification. PLoS ONE 7(11), e47041 (2012)Google Scholar
  16. 16.
    Yang, Y., Liu, Q., Ji, R., Gao, Y.: Remote Dynamic Three-Dimensional Scene Reconstruction. PLoS ONE 8(5), e55586 (2013)Google Scholar
  17. 17.
    Yang, Y., Dai, Q.: Contourlet-based Image Quality Assessment for Synthesized Virtual Image. Electronics Letters 46(7), 492–494 (2010)CrossRefGoogle Scholar
  18. 18.
    Nguyen, H.T., Do, M.N.: Error Analysis for Image-Based Rendering with Depth Information. IEEE Transactions on Image Processing 18(4), 703–716 (2009)CrossRefMathSciNetGoogle Scholar
  19. 19.
    Liu, S.X., An, P., Zhang, Z.Y., Zhang, Q., Shen, L.Q., Jiang, G.Y.: On the Relationship Between Multi-View Data Capturing and Quality of Rendered Virtual View. Imaging Science Journal 57(5), 250–259 (2009)CrossRefGoogle Scholar
  20. 20.
    Shidanshidi, H., Safaei, F., Li, W.: A Quantitative Approach for Comparison and Evaluation of Light Field Rendering Techniques. In: 2011 IEEE International Conference on Multimedia and Expo (ICME), pp. 1–4. IEEE Press, Pennsylvania (2011)CrossRefGoogle Scholar
  21. 21.
    Shidanshidi, H., Safaei, F., Li, W.: Objective Evaluation of Light Field Rendering Methods Using Effective Sampling Density. In: 13th International Workshop on Multimedia Signal Processing (MMSP), pp. 1–6. IEEE Press, Hangzhou (2011)Google Scholar
  22. 22.
    Gortler, S., Grzeszczuk, R., Szeliski, R., Cohen, M.F.: The Lumigraph. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 43–54. ACM Press, New York (1996)Google Scholar
  23. 23.
    Bezdek, J.C., Coray, C., Gunderson, R., Watson, J.: Detection and Characterization of Cluster Substructure I. Linear Structure: Fuzzy c-lines. SIAM Journal on Applied Mathematics 40(2), 339–357 (1981)CrossRefzbMATHMathSciNetGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Changjian Zhu
    • 1
  • Li Yu
    • 1
  • Peng Zhou
    • 1
  1. 1.Department of Electronics and Information EngineeringHuazhong University of Science and TechnologyWuhanP.R. China

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