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View Dependent Texturing Using a Linear Basis

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Part of the book series: Geometry and Computing ((GC,volume 5))

Abstract

We present a texturing approach for image-based modeling and rendering, where instead of texturing from one (or a blend of a few) sample images, new view-dependent textures are synthesized by modulating a differential texture basis. The texture basis contains image derivatives, and it models the first order intensity variation due to image projection errors, parallax and illumination variation. We derive an analytic form for this basis and show how to obtain it from images. Experimentally, we compare rendered views to ground truth real images and quantify how the texture basis can generate a more accurate rendering compared to conventional view-dependent textures. In a hardware accelerated implementation, we achieve frame rate on regular PCs and consumer graphics cards.

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References

  1. Movies of the experiments are available on http://www.cs.ualberta.ca/∼vis/scalesmod

  2. Software is downloadable from http://www.cs.ualberta.ca/∼vis/ibmr

  3. Barsi, R., Jacobs, D.: Lambertian refrectance and linear subspace. In: IEEE International Conference on Computer Vision, pp. 383–390 (2001)

    Google Scholar 

  4. Buehler, C., Bosse, M., McMillan, L., Gortler, S.J., Cohen, M.: Unstructured lumigraph rendering. In: Computer Graphics (SIGGRAPH), pp. 43–54 (2001)

    Google Scholar 

  5. Cobzas, D., Yerex, K., Jagersand, M.: Dynamic textures for image-based rendering of fine-scale 3D structure and animation of non-rigid motion. In: Eurographics (2002)

    Google Scholar 

  6. Dana, K.J., van Ginneken, B., Nayar, S.K., Koenderink, J.J.: Reflectance and texture of real-world surfaces. ACM Trans. Graph. 18(1), 1–34 (1999)

    Article  Google Scholar 

  7. Debevec, P.E., Taylor, C.J., Malik, J.: Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach. In: SIGGRAPH (1996)

    Google Scholar 

  8. Doretto, G., Chiuso, A., Wu, Y.N., Soatto, S.: Dynamic textures. Int. J. Comput. Vis. 51(2), 91–109 (2003)

    MATH  Google Scholar 

  9. Eisemann, M., Decker, B.D., Magnor, M., Bekaert, P., de Aguiar, E., Ahmed, N., Theobalt, C., Sellent, A.: Floating textures. Comput. Graph. Forum (Proc. Eurographics EG’08) 27(2), 409–418 (2008)

    Article  Google Scholar 

  10. Esteban, C.H., Schmitt, F.: Silhouette and stereo fusion for 3D object modeling. Comput. Vis. Image Understand. 96(3), 367–392 (2004)

    Article  Google Scholar 

  11. Freeman, W.T., Adelson, E.H., Heeger, D.J.: Motion without movement. In: SIGGRAPH (1991)

    Google Scholar 

  12. Furukawa, R., Kawasaki, H., Ikeuchi, K., Sakauchi, M.: Appearance based object modeling using texture database: acquisition, compression and rendering. In: Proceedings of the 13th Eurographics Workshop on Rendering. Eurographics Association, Aire-la-Ville, Switzerland, Switzerland, pp. 257–266 (2002)

    Google Scholar 

  13. Gortler, S.J., Grzeszczuk, R., Szeliski, R.: The lumigraph. In: Computer Graphics (SIGGRAPH’96), pp. 43–54 (1996)

    Google Scholar 

  14. Hager, G.D., Belhumeur, P.N.: Efficient region tracking with parametric models of geometry and illumination. IEEE Trans. Pattern Anal. Mach. Intell. 20(10), 1025–1039 (1998)

    Article  Google Scholar 

  15. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press (2000)

    MATH  Google Scholar 

  16. Heckbert, P.: Fundamentals of Texture Mapping. Msc thesis. Technical Report No. UCB/CSD 89/516, University of California, Berkeley (1989)

    Google Scholar 

  17. Jagersand, M.: Image based view synthesis of articulated agents. In: CVPR (1997)

    Google Scholar 

  18. Levoy, M., Hanrahan, P.: Light field rendering. In: Computer Graphics (SIGGRAPH’96), pp. 31–42 (1996)

    Google Scholar 

  19. Levy, B., Petitjean, S., Ray, N., Maillot, J.: Least squares conformal maps for automatic texture atlas generation. ACM Trans. Graph., 362–371 (2002)

    Google Scholar 

  20. Möller, T., Haines, E.: Real-Time Rendering. A.K. Peterson, Natick (2002)

    Google Scholar 

  21. Oliveira, M.M., Bishop, G., McAllister, D.: Relief texture mapping. In: Computer Graphics (SIGGRAPH’00) (2000)

    Google Scholar 

  22. Ramamoorthi, R.: Analytical pca construction for theoretical analysis of light variability in a single image of a lambertian object. IEEE Trans. Pattern Anal. Mach. Intell. 24(10) (2002)

    Article  Google Scholar 

  23. Ramamoorthi, R., Hanarahan, P.: On the relationship between radiance and irradiance: determining the illumination from images of a convex lambertian object. J. Optical Soc. Am. A 18(10), 2448–2459 (2001)

    Article  Google Scholar 

  24. Seitz, Curless, Diebel, Scharstein, Szeliski: A comparison of multiview stereo reconstruction algorithms. In: CVPR (2006)

    Google Scholar 

  25. Slabaugh, G.G., Culbertson, W.B., Malzbender, T., Schafer, R.W.: A survey of methods for volumetric scene reconstruction from photographs. In: International Workshop on Volume Graphics (2001)

    Google Scholar 

  26. Tarini, M., Callieri, M., Montani, C., Rocchini, C.: Marching intersections: an efficient approach to shape from silhouette. In: Proceedings of VMV 2002 (2002)

    Google Scholar 

  27. Vasilescu, M.A.O., Terzopoulos, D.: Tensortextures: multilinear image-based rendering. ACM Trans. Graph. 23(3), 336–342 (2004)

    Article  Google Scholar 

  28. Vergauwen, M., Gool, L.V.: Web-based 3D reconstruction service. Mach. Vis. Appl. 17, 411–426 (2006)

    Article  Google Scholar 

  29. Wood, D.N., Azuma, D.I., Aldinger, K., Curless, B., Duchamp, T., Salesin, D.H., Stuetzle, W.: Surface light fields for 3D photography. In: Computer Graphics (SIGGRAPH’00) (2000)

    Google Scholar 

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Correspondence to Martin Jagersand .

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Jagersand, M., Birkbeck, N., Cobzas, D. (2010). View Dependent Texturing Using a Linear Basis. In: Ronfard, R., Taubin, G. (eds) Image and Geometry Processing for 3-D Cinematography. Geometry and Computing, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12392-4_13

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