A psychophysical study of dominant texture detection

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A psychophysical study of dominant texture detection

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Applied Perception in Graphics and Visualization archive
Proceedings of the 6th Symposium on Applied Perception in Graphics and Visualization table of contents

Chania, Crete, Greece

POSTER SESSION: Posters table of contents

Pages 133-133

Year of Publication: 2009

ISBN:978-1-60558-743-1

Authors

Jianye Lu	Yale University
Alexandra Garr-Schultz	Yale University
Julie Dorsey	Yale University
Holly Rushmeier	Yale University

Sponsor

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

Publisher

ACM New York, NY, USA

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ABSTRACT

Images of everyday scenes are frequently used as input for texturing 3D models in computer graphics. Such images include both the texture desired and other extraneous information. In our previous work [Lu et al. 2009], we defined dominant texture as a large homogeneous region in an input sample image and proposed an automatic method to detect dominant textures based on diffusion distance manifolds. In this work, we explore the identification of cases where diffusion distance manifolds fail, and consider the best alternative method for such cases.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Ferwerda, J. A. 2008. Psychophysics 101: how to run perception experiments in computer graphics. In SIGGRAPH'08: ACM SIGGRAPH 2008 classes, ACM, New York, NY, USA, 1--60.
	2	Lu, J., Dorsey, J., and Rushmeier, H. 2009. Dominant texture and diffusion distance manifolds. Computer Graphics Forum 28, 2, 667--676.

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