“Object shape and reflectance modeling from observation”

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Title:

    Object shape and reflectance modeling from observation

Session/Category Title:   Texture, Reflection, and Design

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Abstract:


    An object model for computer graphics applications should contain two aspects of information: shape and reflectance properties of the
    object. A number of techniques have been developed for modeling object shapes by observing real objects. In contrast, attempts to model reflectance properties of real objects have been rather limited. In most cases, modeled reflectance properties are too simple or too complicated to be used for synthesizing realistic images of the object.

    In this paper, we propose a new method for modeling object reflectance properties, as well as object shapes, by observing real objects. First, an object surface shape is reconstructed by merging multiple range images of the object. By using the reconstructed object shape and a sequence of color images of the object, parameters of a reflection model are estimated in a robust manner. The key point of the proposed method is that, first, the diffuse and specular reflection components are separated from the color image sequence, and then, reflectance parameters of each reflection component are estimated separately. This approach enables estimation of reflectance properties of real objects whose surfaces show specularity as well as diffusely reflected lights. The recovered object shape and reflectance properties are then used for synthesizing object images with realistic shading effects under arbitrary illumination conditions.

References:


    1. 1.R. Baribeau, M. Rioux, and G. Godin, “Color reflectance modeling using a polychromatic laser sensor,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 14, no. 2, pp. 263-269, 1992. Google ScholarDigital Library
    2. 2.R.L. Cromwell, “Efficient eigenvalues for visualization,” in E S. Heckbert, editor, Graphics Gems IV, Academic Press, San Diego, 1994. Google ScholarDigital Library
    3. 3.B. Curless and M. Levoy, “A volumetric method for building complex models from range images,” Computer Graphics (SIGGRAPH ’96 Proceedings), pp. 303-312, 1996. Google ScholarDigital Library
    4. 4.A. Hilton, J. Stoddart, J. Illingworth, and T. Windeatt, “Reliable surface reconstruction from multiple range images,” Proceedings of European Conference on Computer Vision ’96, pp. 117-126, 1996. Google ScholarDigital Library
    5. 5.H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle, “Surface reconstruction from unorganized points,” Computer Graphics (SIGGRAPH ’92 Proceedings), pp. 71-78, 1992. Google ScholarDigital Library
    6. 6.H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle, “Mesh Optimization,” Computer Graphics (SIGGRAPH ’93 Proceedings), pp. 19-26, 1993. Google ScholarDigital Library
    7. 7.K. Ikeuchi and K. Sato, “Determining reflectance properties of an object using range and brightness images,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 11, pp. 1139-1153, 1991. Google ScholarDigital Library
    8. 8.C.L. Jackins and S. L. Tanimoto, “Oct-trees and their use in representing three-dimensional objects,” Computer Graphics Image Processing, vol. 14, no. 3, pp. 249-270, 1980.Google ScholarCross Ref
    9. 9.G. Kay and T. Caelli, “Inverting an illumination model from range and intensity maps,” CVGIP: Image Understanding, vol. 59, pp. 183-201, 1994. Google ScholarDigital Library
    10. 10.W. E. Lorensen and H. E. Cline, “Marching cubes: a high resolution 3D surface construction algorithm,” Computer Graphics (SIGGRAPH ’87 Proceedings), vol. 21, no. 4, pp. 163-169, 1987. Google ScholarDigital Library
    11. 11.J. Lu and J. Little, “Reflectance function estimation and shape recovery from image sequence of a rotating object,” Proceedings of International Conference on Computer Vision, pp. 80-86, June 1995. Google ScholarDigital Library
    12. 12.S. K. Nayar, K. Ikeuchi, and T. Kanade, “Surface reflection: physical and geometrical perspectives,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 7, pp. 611-634, 1991. Google ScholarDigital Library
    13. 13.S. K. Nayar, X. Fang, and T. E. Boult, “Removal of specularities using color and polarization,” Proceedings of Computer Vision and Pattern Recognition ’93, pp. 583-590, New York City, NY, June 1993.Google Scholar
    14. 14.K. Sato, H. Yamamoto, and S. Inokuchi, “Range imaging system utilizing nematic liquid crystal mask,” Proceedings of International Conference on Computer Vision, pp. 657-661, 1987.Google Scholar
    15. 15.Y. Sato and K. Ikeuchi, “Temporal-color space analysis of reflection,” Journal of Optical Society of America A, vol. 11, no. 11, pp. 2990- 3002, November 1994.Google ScholarCross Ref
    16. 16.Y. Sato and K. Ikeuchi, “Reflectance analysis for 3D computer graphics model generation,” Graphical Models and Image Processing, vol. 58, no. 5, pp. 437-451, September 1996. Google ScholarDigital Library
    17. 17.S. Sharer, “Using color to separate reflection components,” COLOR Research and Application, vol. 10, no. 4, pp. 210-218, 1985.Google ScholarCross Ref
    18. 18.R. Szelski at Micro Soft Co., personal communication.Google Scholar
    19. 19.K. E. Torrance and E. M. Sparrow, “Theory for off-specular reflection from roughened surface,” Journal of Optical Society of America, vol. 57, pp. 1105-1114, 1967.Google ScholarCross Ref
    20. 20.G. J. Ward, “Measuring and modeling anisotropic reflection,” Computer Graphics (SIGGRAPH 92Proceedings), vol. 26, no. 2, pp. 265- 272, 1992. Google ScholarDigital Library
    21. 21.M. D. Wheeler, Y. Sato, and K. Ikeuchi, “Consensus surfaces for modeling 3D objects from multiple range images,” DARPA Image Understanding Workshop, 1997. Google ScholarDigital Library
    22. 22.L. B. Wolff, T. E. Boult, “Constraining object features using a polarization reflectance model,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 13, no. 6, pp. 635-657, 1991. Google ScholarDigital Library

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