“Texture tile considerations for raster graphics” by Dungan, Stenger and Sutty

  • ©William Dungan, Anthony Stenger, and George Sutty

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    Texture tile considerations for raster graphics

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Abstract:


    As a technique for rendering texture in images, texture tiles meet the subjective criterion of visual acceptability. A texture tile is a digital array of stored texture information that is replicated on a surface within an image. The purpose is to give the surface a textured appearance. The repetitive pattern inherent in the tiling approach can be suppressed. A texture tile must not exhibit macropatterns to avoid this problem. Properties that the mapping algorithm must include are oriented toward controlling aliasing. The tile is stored and accessed at several different levels-of-detail. The accessing technique is based on the size of the footprint the sample projects onto the surface to be textured. Aliasing is further controlled by a combination of increased sampling per pixel and filtering. Several textured images are presented, produced by the texture tile technique. These images show the realistic effect that is added by texture tiles.

References:


    1. Arbib, M. A., and E. M. Riseman, Computational Techniques in Visual Systems: Part I. The Overall Design, Tech. Rep. 76-10, Dept. of Computer and Information Science, U. of Mass., Amherst, Mass., Jul. 1976.
    2. Busacker, R. G., and T. L. Saaty, Finite Graphs and Networks: An Introduction with Applications, McGraw-Hill, New York, 1965.
    3. Davis, L. S., “Understanding Shape: Angles and Sides,” IEEE Tran. Comput., Vol. 3-26, No. 3, Mar. 1977, pp. 236-242.
    4. Davis, L. S., “Shape Matching Using Relaxation Techniques,” Proc. of the IEEE Conf. on Pattern Recognition and Image Processing, Jun. 1977, pp. 191-197.
    5. Feng, H. Y., and T. Pavlidis, “The Generation of Polygonal Outlines of Objects from Gray Level Pictures,” IEEE Transactions on Circuits and Systems, Vol. CASS-22, No. 5, May 1975, pp. 427-439.
    6. Fischler, M. A., and R. A. Elschlager, “The Representation and Matching of Pictorial Structures,” IEEE Tran. Comput., Vol. C-21, No. 1, Jan. 1973, pp. 67-92.
    7. Freeman, H., “Techniques for the Digital Computer Analysis of Chain-Encoded Arbitrary Plane Curves,” Proc. of the National Electronics Conf., Vol. 17, Oct. 1961, pp. 421-432.
    8. Freeman, H., “Computer Processing of Line Drawing Images,” Computing Surveys, Vol. 6, No. 1, Mar. 1974, pp. 57-97.
    9. Freeman, H., “Analysis of Line Drawings,” Proc. of the NATO Advanced Study Institute on Image Processing, Jun. 1976.
    10. Freeman, H., and L. S. Davis, “A Corner Finding Algorithm for Chain-Encoded Curves,” IEEE Tran. on Computers, Mar. 1977, pp. 297-303.
    11. Furtado, A. L., “Characterizing Sets of Data Structures by Graph Grammars,” Proc. of the Conf. on Computer Graphics, Pattern Recognition, and Data Structure, May 14-16, 1975, pp. 103-107.
    12. Gray, J. C., “Compound Data Structure for Computer-Aided Design-A-Survey,” Proc. of the ACM 22nd National Conf., 1967, MDI Publications, Wayne, Penn., pp. 355-365.
    13. Hanson, A. R., and E. M. Riseman, A Progress Report on Visions: Representation and Control of Visual Models, Tech. Rep. 76-9, Dept. of Computer Science, U. of Massl, Amherst, Mass., Jul. 1976.
    14. Haralick, R. M., L. S. Davis, A. Rosenfeld, and D. L. Milgram, Reduction Operations for Constraint Satisfaction, TR-560, Comp. Science Center, U. of Md., College Park, Md., Aug. 1977.
    15. Haralick, R. M., and L. G. Shapiro, The Consistent Labeling Problem, Center for Research, Inc., U. of K., Lawrence, Ks., Feb. 1978.
    16. Haralick, R. M., and L. G. Shapiro, “Decomposition of Polygonal Shapes by Clustering,” Proc. IEEE Conf. on Pattern Recognition and Image Processing, Jun. 6-8, 1977, pp. 183-190.
    17. Horowitz, S. L., and T. Pavlidis, “Picture Segmentation by a Tree Traversal Algorithm,” JACM, Vol. 23, No. 2, Apr. 1976, pp. 368-388.
    18. IEEE Computer Society, Proc. Workshop on Picture Data Description and Management, Apr. 31-22, 1977.
    19. Johnson, T. E., “Sketchpad III, A Computer Program for Drawing in Three-Dimensions,” AFIPS Spring Joint Computer Conf., 1963.
    20. Kelly, M. D., “Edge Detection in Pictures by Computer Using Planning,” Machine Intelligence 6, 1971, pp. 379-409.
    21. Klinger, A., “Data Structures and Pattern Recognition,” Proc. First Int’l. Joint Conf. on Pattern Recognition, Washington, D. C., IEEE, New York, 1973.
    22. Klinger, A., “Regular Decomposition and Picture Structure,” Proc. 1974 Int’l. Conf. SMC, Dallas, Tex., IEEE, N.Y. 1974, pp. 307-310.
    23. Klinger, A., and C. Dyer, “Experiments on Picture Representation Using Regular Decomposition,” CGIP, Vol. 5, No. 1, Mar. 1976, pp. 68-105.
    24. Klinger, A., K. S. Fu, and T. L. Kunii, Data Structures, Computer Graphics, and Pattern Recognition, Academic Press, N.Y., 1977.
    25. Newman, W. M., and R. F. Sproul, Principles of Interactive Computer Graphics, McGraw-Hill, N.Y., 1973.
    26. Pavlidis, T., Structural Pattern Recognition, Springer-Verlag, Berlin, 1977.
    27. Pavlidis, T., “Segmentation of Pictures and Maps through Functional Approximation,” Computer Graphics and Image Processing 1, 1972, pp. 360-372.
    28. Pavlidis, T., “A Minimum Storage Boundary Tracing Algorithm and Its Application to Automatic Inspection,” IEEE Tran. SMC, Jan. 1978.
    29. Pavlidis, T., and K. Steiglitz, “The Automatic Counting of Asbestos Fibers in Air Samples,” Proc. Third Int’l Conf. on Pattern Recognition, Nov. 1977.
    30. Rosen, C. A., and N. J. Nilsson, Application of Intelligent Automata to Reconnaissance, SRI Project 5953, Dec. 1967.
    31. Shapiro, L. G., and R. M. Haralick, “Decomposition of Two-Dimensional Shapes by Clustering,” to appear in IEEE Tran. Comput., 1978.
    32. Shapiro, L. G., “ESP: A High-Level Graphics Language,” Proc. Second Annual Conf. on Computer Graphics and Interactive Techniques, Jun. 1975.
    33. Shapiro, L. G., and R. J. Bacon, “ESP3: A Language for Pattern Description and a System for Pattern Recognition,” IEEE Tran. S. E., Vol. SE-3, No. 2, Mar. 1977, pp. 169-183.
    34. Shapiro, L. G., and R. M. Haralick, “A General Spatial Data Structure,” to be presented at the IEEE Conf. Pattern Recognition and Image Processing, Jun. 1978.
    35. Sutherland, L. E., Sketchpad: A Man-Machine System, MIT Tech. Rep. No. 296, 1963.
    36. Tanimoto, S., and T. Pavlidis, “A Hierarchical Data Structure for Picture Processing,” Computer Graphics and Image Processing 4, 1975, pp. 104-119.
    37. Tanimoto, S. L., and T. Pavlidis, “The Editing of Picture Segmentations Using Local Analysis of Graphs,” CACM, Vol. 20, No. 4, Apr. 1977, pp. 223-229.
    38. Tanimoto, S. L., “An Iconic/Symbolic Data Structuring Scheme,” Pattern Recognition and Artificial Intelligence, Academic Press, N.Y., 1976 pp. 452-471.
    39. Warnock, J. E., A Hidden Surface Algorithm for Computer Generated Halftone Pictures, Computer Science Dept., U. of Utah, TR 4-15, Jun. 1969. (See also Newman and Sproul, 1973.)
    40. Weingarten, N., and D. P. Greenberg, “Three-Dimensional Graphic Input Using Recursive Instancing,” Proc. Computer Software and Applications Conf., Nov. 8-11, 1977, pp. 377-383.
    41. Williams, Robin, “A Survey of Data Structures for Computer Graphics Systems,” Computing Surveys, Vol. 3, No. 1, Mar. 1971, pp. 1-21.
    42. Zahn, C. T., Jr., “Data Structures for Pattern Recognition Algorithms: A Case Study,” Proc. Conf. on Computer Graphics, Pattern Recognition, and Data Structures, May 14-16, 1975, pp. 191-195.


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