3D and Texture Modelling of Precolombian Objects

  • Jorge Hernández
  • Flavio Prieto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4291)


In this paper we present a 3D and texture modelling for Precolombian objects. Our experimental setup consists of a no contact 3D digitizer for range image acquisition and a camera CCD of high resolution to acquire the intensity images of the target object. The mapping texture process is described as a parameterization function with a range image; we estimate the camera orientation from calibration techniques, utilizing pattern calibration before data acquisition. We describe a texturized mapping strategy based on multi-view to adequately address photography related problems such as inhomogeneous lighting, highlights and occlusion. For each triangle in the model, the optimal image is selected from source images with an average weighted the scalar product between the image normal vector and triangle normal vector. Finally, we show the highly detailed texture models of Precolombian objects.


Cultural Heritage Range Image Multiple View Texture Mapping Color Constancy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Denis Laurendeau, N.B., Houde, R.: The mapping of texture on vr polygonal models. In: Second International Conference on 3-D Imaging and Modelling (3DIM 1999), p. 332 (1999)Google Scholar
  2. 2.
    Godin, G., Beraldin, J.-A.: Active optical 3d imaging for heritage applications. Computer Graphics in Art History and Archaeology, 24–36 (2002)Google Scholar
  3. 3.
    Vilbrandt, C., Pasko, G., Pasko, A., Fayolle, P.A., Vilbrandt, T., Goodwin, J.R., Goodwin, J.M., Kunii, T.L.: Cultural Heritage Preservation Using Constructive Shape Modeling. Computer Graphics Forum 23(1), 25–41 (2004)CrossRefGoogle Scholar
  4. 4.
    Levoy, M., Pulli, K., Curless, B., Rusinkiewicz, S., Koller, D., Pereira, L., Ginzton, M., Anderson, S., Davis, J., Ginsberg, J., Shade, J., Fulk, D.: The digital michelangelo project: 3D scanning of large statues. In: Akeley, K. (ed.) Siggraph 2000, Computer Graphics Proceedings. Annual Conference Series, pp. 131–144. ACM Press / ACM SIGGRAPH / Addison Wesley Longman (2000)Google Scholar
  5. 5.
    Bernardini, F., Rushmeier, H., Martin, I., Mittleman, J., Taubin, G.: Building a digital model of Michelangelo’s Florentine Pietà. IEEE Computer Graphics and Applications 22, 59–67 (2002)CrossRefGoogle Scholar
  6. 6.
    Marco Andreetto, N.B., Cortelazzo, G.M.: Automatic 3-d modeling of textured cultural heritage objects. IEEE Transactions on Image Processing 13, 354–369 (2004)CrossRefGoogle Scholar
  7. 7.
    Zheng, J.Y., Zhang, Z.L.: Virtual recovery of excavated relics. IEEE Computer Graphics and Applications, 6–11 (1999)Google Scholar
  8. 8.
    Ikeuchi, K., Atsushi Nakazawa, K.H.T.O.: Representing cultural heritage in digital forms for vr systems through computer vision techniques. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR 2004) (2004)Google Scholar
  9. 9.
    Unten, H., Ikeuchi, K.: Virtual reality model of koumokuten generated from measurement. In: Proceedings Of The Tenth International Conference On Virtual Systems And Multimedia (VSMM 2004), pp. 209–216 (2004)Google Scholar
  10. 10.
    Yoichi Sato, M.D.W., Ikeuchi, K.: Object shape and reflectance modeling from observation. In: Procceedings Computer Graphics (SIGGRAPH 1997), pp. 379–388 (1997)Google Scholar
  11. 11.
    Pulli, K.: Surface Reconstruction and Display from Range and Color Data. PhD thesis, University of Washington (1997)Google Scholar
  12. 12.
    Neugebauer, P.J., Klein, K.: Texturing 3d models of real world objects from multiple unregistered photographic views. In: Proceedings Euographics 1999, vol. 18 (1999)Google Scholar
  13. 13.
    Matsushita, K., Kaneko, T.: Efficient and handy texture mapping on 3d surfaces. In: Proceedings Euographics 1999, vol. 18 (1999)Google Scholar
  14. 14.
    Hendrik, P.A., Lensch, W.H., Seidel, H.P.: A silhouette-based algorithm for texture registration and stitching. Graphical Models - IDEAL, 245–262 (2001)Google Scholar
  15. 15.
    Stamos, I., Allen, P.K.: Geometry and texture recovery of scenes of large scale. Computer Vision and Image Understanding (CVIU) 8, 94–118 (2002)CrossRefGoogle Scholar
  16. 16.
    Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation RA-3, 323–344 (1987)CrossRefGoogle Scholar
  17. 17.
    Hartley, R., Zisserman, A.: Multiple View Geometry in computer vision, Cambridge (2003)Google Scholar
  18. 18.
    Ilya Eckstein, V.S., Gotsman, C.: Texture mapping with hard constraints. Computer Science Department, Technion Israel Institute of Technology 20 (2001)Google Scholar
  19. 19.
    Foley, J.D., van Dam, A., Hughes, J.F., Feiner, S.K.: Computer Graphics, Pirnciples ans Practice, 2nd edn. Addison-Wesley, Reading (1992)Google Scholar
  20. 20.
    Besl, P.J., McKay, N.D.: A method for registration of 3d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 239–256 (1992)CrossRefGoogle Scholar
  21. 21.
    Rocchini, C., Cignoni, P., C.M., Scopigno, R.: Multiple textures stitching and blending on 3d objects. In: Proceedings 10th Eurographics Workshop Rendering (1999)Google Scholar
  22. 22.
    Graham, D., Finlayson, S.D.H., Hubel, P.M.: Color by correlation: A simple, unifying framework for color constancy. IEEE Transactions on Pattern Analysis and Machine Intelligence 23, 1209–1221 (2001)CrossRefGoogle Scholar
  23. 23.
    Felzenszwalb, P.F., Huttenlocher, D.P.: Distance transforms of sampled functions. Technical report, The University of Chicago, Cornell University (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jorge Hernández
    • 1
  • Flavio Prieto
    • 1
  1. 1.Universidad Nacional de Colombia sede ManizalesManizales, CaldasColombia

Personalised recommendations