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Image based Shading Techniques for Surfaces with Irregular and Complex Textures Formed by Heterogeneous Materials

이종물질에 의해 복잡한 불규칙 무늬가 형성된 물체 표면의 영상 기반 셰이딩 기법

  • 이주림 (이화여자대학교 디지털미디어학부) ;
  • 남양희 (이화여자대학교 디지털미디어학부)
  • Published : 2010.01.28

Abstract

In this paper we present a shading technique for realistic rendering of the surfaces with irregular and complex textures using a single photograph. So far, most works have been using many photographs or special photographing equipment to render the surfaces with irregular and complex textures as well as dividing texture regions manually. We present an automatic selection method of the region segmentation techniques according to properties of materials. As our technique produces a reflectance model and the approximated Bidirectional Reflection Distribution Function(BRDF) parameters, it allows the recovery of the photometric properties of diffuse, specular, isotropic or anisotropic textured objects. Also it make it possible to present several synthetic images with novel lighting conditions and views.

Keywords

Image Segmentation;Multi-layer Rendering;Image based Rendering;Relighting

References

  1. C. L. Zitnick and S. B. Kang, "Stereo for Image-Based Rendering using Image Over-Segmentation," International Journal of Computer Vision, Vol.75, No.1, pp.49-65, 2007. https://doi.org/10.1007/s11263-006-0018-8
  2. R. Gao, B. Yin, D. Kong, Y. Zhang, and H. Si, "An improved method of parallax mapping," Computer and Information Technology, pp.30-34, 2008(7). https://doi.org/10.1109/CIT.2008.4594645
  3. R. J. Cant and C. S. Langensiepen, "Efficient anti-aliased bump mapping," Computer & Graphics, Vol.30, No.4, pp.561-580, 2006(8). https://doi.org/10.1016/j.cag.2006.03.015
  4. J. Wang, S. Zhao, X. Tong, J. Snyder, and B. Guo, "Modeing Anisotropic surface Reflectance with Exampe-based Microfacet Synthesis," In SIGGRAPH '08: ACM SIGGRAPH 2008 papers, pp.1-9, 2008. https://doi.org/10.1145/1399504.1360640
  5. H. Shim and T. Chen, "A STATISTICAL FRAMEWORK FOR IMAGE-BASED RELIGHTING," Acoustics, Speech, and Signal Processing, Vol.2, pp.1093-1096, 2005. https://doi.org/10.1109/ICASSP.2005.1415599
  6. G. Lin, M. K. Chawla, K. Olson, C. A. Barnes, J. F. Guzowski, and B. Roysam, "A Multi-Model Approach to Simultaneous Segmentation and Classification of Heterogeneous Populations of Cell Nuclei in 3D Confocal Microscope Images,” Cytometry Part A, Vol.71A, pp.724-736, 2007. https://doi.org/10.1002/cyto.a.20430
  7. W. Wang, "image segmentation of irregular shape grains on ceramic material surfaces," Computer Graphics, Imaging and Vision, pp.49-54, 2005. https://doi.org/10.1109/CGIV.2005.44
  8. T. Kanungo, N. S. Netanyahu, and Y. Angela, “An Efficient k-Means Clustering Algorithm Analysis and Implementation," Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol.24, No.7, pp.881-892, 2002. https://doi.org/10.1109/TPAMI.2002.1017616
  9. http://en.wikipedia.org/wiki/Expectation_maximization
  10. K. S. Sultan, M. A. Ismail, and A. S. Al-Moisheer, "Mixture of two inverse Weibull distributions: Prperties and estimation," Computational Statistics & Data Analysis, Vol.51, pp.5377-5387, 2007. https://doi.org/10.1016/j.csda.2006.09.016
  11. S. Boivin and A. GagalowiczInverse, "Image-Based Rendering of Diffuse, Specular and Glossy Surfaces from a Single Image," Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp.107-116, 2001(8). https://doi.org/10.1145/383259.383270
  12. S. Mulhammed and I. S. Raplh, "Digital Image Processing Method Employing Histogram Peak Detection," Granted Patents (USPTO), Publication No.4731863, 1988.