A model of visual masking for computer graphics Export

@inproceedings{citeulike:5273466, abstract = {In this paper we develop a computational model of visual masking based on psychophysical data. The model predicts how the presence of one visual pattern affects the detectability of another. The model allows us to choose texture patterns for computer graphics images that hide the effects of faceting, banding, aliasing, noise and other visual artifacts produced by sources of error in graphics algorithms. We demonstrate the utility of the model by choosing a texture pattern to mask faceting artifacts caused by polygonal tesselation of a flat-shaded curved surface. The model predicts how changes in the contrast, spatial frequency, and orientation of the texture pattern, or changes in the tesselation of the surface will alter the masking effect. The model is general and has uses in geometric modeling, realistic image synthesis, scientific visualization, image compression, and image-based rendering.}, address = {New York, NY, USA}, author = {Ferwerda, James A. and Shirley, Peter and Pattanaik, Sumanta N. and Greenberg, Donald P.}, booktitle = {SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques}, citeulike-article-id = {5273466}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=258734.258818}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/258734.258818}, citeulike-linkout-2 = {http://www.cs.ucf.edu/~sumant/publications/sig97.pdf}, doi = {10.1145/258734.258818}, isbn = {0-89791-896-7}, keywords = {camouflage, complexity, disruptive, human, noise, perception, texture\_analysis, texture\_synthesis, vision}, pages = {143--152}, posted-at = {2009-07-26 18:24:29}, priority = {2}, publisher = {ACM Press/Addison-Wesley Publishing Co.}, title = {A model of visual masking for computer graphics}, url = {http://dx.doi.org/10.1145/258734.258818}, year = {1997} }

TY - CONF ID - citeulike:5273466 L3 - citeulike-article-id:5273466 N2 - In this paper we develop a computational model of visual masking based on psychophysical data. The model predicts how the presence of one visual pattern affects the detectability of another. The model allows us to choose texture patterns for computer graphics images that hide the effects of faceting, banding, aliasing, noise and other visual artifacts produced by sources of error in graphics algorithms. We demonstrate the utility of the model by choosing a texture pattern to mask faceting artifacts caused by polygonal tesselation of a flat-shaded curved surface. The model predicts how changes in the contrast, spatial frequency, and orientation of the texture pattern, or changes in the tesselation of the surface will alter the masking effect. The model is general and has uses in geometric modeling, realistic image synthesis, scientific visualization, image compression, and image-based rendering. SN - 0-89791-896-7 AD - New York, NY, USA EP - 152 TI - A model of visual masking for computer graphics PB - ACM Press/Addison-Wesley Publishing Co. T2 - SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniques SP - 143 KW - camouflage KW - complexity KW - disruptive KW - human KW - noise KW - perception KW - texture_analysis KW - texture_synthesis KW - vision AU - Ferwerda, James AU - Shirley, Peter AU - Pattanaik, Sumanta AU - Greenberg, Donald PY - 1997/// UR - http://dx.doi.org/10.1145/258734.258818 ER -