Harnessing natural textures for multivariate visualization

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There remains great untapped potential for the effective use of texture in multivariate visualization despite the excellent progress made. Important steps must be taken towards realizing more of this potential by harnessing the power of rich natural textures. A successful approach will begin from a fundamental understanding of visual texture perception and progress toward an understanding of how to synthesize a multidimensional palette of detailed texture samples whose variations evoke an intrinsic appreciation of the local and global relationships between multiple quantities across a 2D domain.

Original languageEnglish (US)
Pages (from-to)6-11
Number of pages6
JournalIEEE Computer Graphics and Applications
Issue number6
StatePublished - Nov 2000

Bibliographical note

Funding Information:
In framing this work, I have benefited from informal discussions with a number of different people. I am particularly grateful to Tomás Filsinger for providing valuable criticism and insights into understanding effective uses of texture from an artist/graphic designer’s perspective, and to Guillermo Sapiro and Dan Kersten for pointers into the computer vision and texture synthesis literature. My fledgling efforts are partially supported by a 1999-2000 University of Minnesota Grant-in-Aid of Research, Artistry, and Scholarship and an NSF Presidential Early Career Award for Scientists and Engineers (Pecase) award.


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