The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Recognizing surfaces using three-dimensional textons
Abstract
We study the recognition of surfaces made from different materials such as concrete, rug, marble or leather on the basis of their textural appearance. Such natural textures arise from spatial variation of two surface attributes: (1) reflectance and (2) surface normal. In this paper, we provide a unified model to address both these aspects of natural texture. The main idea is to construct a vocabulary of prototype tiny surface patches with associated local geometric and photometric properties. We call these 3D textons. Examples might be ridges, grooves, spots or stripes or combinations thereof Associated with each texton is an appearance vector, which characterizes the local irradiance distribution, represented as a set of linear Gaussian derivative filter outputs, under different lighting and viewing conditions. Given a large collection of images of different materials, a clustering approach is used to acquire a small (on the order of 100) 3D texton vocabulary. Given a few (1 to 4) images of any material, it can be characterized using these textons. We demonstrate the application of this representation for recognition of the material viewed under novel lighting and viewing conditions.
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Citations
Cites
Textons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703 · cited 1×
“Julesz’s textons [12] — orientation elements, crossings and terminators — fell into disuse as they did not have a precise definition for gray level images.”
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Cited by
Zhang, J., Marszałek, M., Lazebnik, S., & Schmid, C. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-9794-4 · Cited by 1,923
Representing and Recognizing the Visual Appearance of Materials Using Three-Dimensional Textons
Leung, T., & Malik, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011126920638 · Cited by 1,498
Self-citationA sparse texture representation using local affine regions
Lazebnik, S., Schmid, C., & Ponce, J. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.151 · Cited by 1,123
Grauman, K., & Leibe, B. (2011) · Synthesis Lectures on Artificial Intelligence and Machine Learning · doi:10.2200/s00332ed1v01y201103aim011 · Cited by 126
Foran, D. J., Yang, L., Chen, W., Hu, J., Goodell, L. A., Reiss, M., Wang, F., Kurc, T., Pan, T., Sharma, A., et al. (2011) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000170 · Cited by 65
Metadata
- Authors
- Leung, T., & Malik, J.
- Venue
- Proceedings of the Seventh IEEE International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 1999
- Pages
- 1010-1017 vol.2
- OpenAlex
- W2029727948
- Cited by
- 202
- References
- 1
- FWCI
- 12.11
- Type
- conference paper
- Language
- en
- Open access
- closed
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