Abstract
This paper describes a method for synthesizing images that match the texture appearance of a given digitized sample. This synthesis is completely automatic and requires only the 'target' texture as input. It allows generation of as much texture as desired so that any object can be covered. It can be used to produce solid textures for creating textured 3-d objects without the distortions inherent in texture mapping. It can also be used to synthesize texture mixtures, images that look a bit like each of several digitized samples. The approach is based on a model of human texture perception, and has potential to be a practically useful tool for graphics applications.
Original language | English (US) |
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Title of host publication | Proceedings of the ACM SIGGRAPH Conference on Computer Graphics |
Publisher | ACM |
Pages | 229-238 |
Number of pages | 10 |
State | Published - 1995 |
Event | Proceedings of the 22nd Annual ACM Conference on Computer Graphics and Interactive Techniques - Los Angeles, CA, USA Duration: Aug 9 1995 → Aug 11 1995 |
Other
Other | Proceedings of the 22nd Annual ACM Conference on Computer Graphics and Interactive Techniques |
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City | Los Angeles, CA, USA |
Period | 8/9/95 → 8/11/95 |
ASJC Scopus subject areas
- General Computer Science