NDLI: Hybrid textons: modeling surfaces with reflectance and geometry

Content Provider	IEEE Xplore Digital Library
Author	Jing Wang Dana, K.J.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA (Jing Wang; Dana, K.J.)
Abstract	The appearance of surface texture as it varies with angular changes of view and illumination is becoming an increasingly important research topic. The bidirectional texture function (BTF) is used in surface modeling because it describes observed image texture as a function of imaging parameters. The BTF has no geometric information, as it is based solely on observed texture appearance. Computational tasks such as recognizing or rendering typically require projecting a sampled BTF to a lower dimensional subspace or clustering to extract representative textons. However, there is a serious drawback to this approach. Specifically, cast shadowing and occlusions are not fully captured. When recovering the full BTF from a sampled BTF with interpolation, the following two characteristics are difficult or impossible to reproduce: (1) the position and contrast of the shadow border, (2) the movement of the shadow border when the imaging parameters are changed continuously. For a textured surface, the nonlinear effects of cast shadows and occlusions are not negligible. On the contrary, these effects occur throughout the surface and are important perceptual cues to infer surface type. In this paper we present a texture representation that integrates appearance-based information from the sampled BTF with concise geometric information inferred from the sampled BTF The model is a hybrid of geometric and image-based models and has key advantages in a wide range of tasks, including texture prediction, recognition, and synthesis.
Sponsorship	IEEE Comput. Soc
File Size	624052
File Format	PDF
ISBN	0769521584
ISSN	10636919
DOI	10.1109/CVPR.2004.1315056
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Reflectivity Geometry Surface texture Predictive models Lighting Image texture Rendering (computer graphics) Data mining Shadow mapping
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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