People    

Research    

Contact    

CS Department    

Yale    

Yale University






Context-Aware Textures
ACM Transactions on Graphics (TOG), Volume 26, Issue 1 (January 2007).

Jianye Lu, Yale University
Athinodoros S. Georghiades, Yale University
Andreas Glaser, Yale University
Hongzhi Wu, Yale University
Li-Yi Wei, Microsoft Research Asia
Baining Guo, Microsoft Research Asia
Julie Dorsey, Yale University
Holly Rushmeier, Yale University



Abstract
Interesting textures form on the surfaces of objects as the result of external chemical, mechanical, and biological agents. Simulating these textures is necessary to generate models for realistic image synthesis. The textures formed are progressively variant, with the variations depending on the global and local geometric context. We present a method for capturing progressively varying textures and the relevant context parameters that control them. By relating textures and context parameters, we are able to transfer the textures to novel synthetic objects. We present examples of capturing chemical effects, such as rusting; mechanical effects, such as paint cracking; and biological effects, such as the growth of mold on a surface. We demonstrate a user interface that provides a method for specifying where an object is exposed to external agents. We show the results of complex, geometry-dependent textures evolving on synthetic objects.

Paper and Video
Full-resolution PDF file (~70MB)
Low-resolution PDF file (~3MB)
Bibtex-entry
Video (~20MB)

Source Data
Source data of Fig.12~17 (including meshes, source texture atlases, context values on the mesh vertices) are shared in this page.

Acknowledgement
This material is based upon work supported by the National Science Foundation under Grant No. 0528204. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


Back to top