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.
- 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. Google ScholarDigital Library
- Lu, J., Dorsey, J., and Rushmeier, H. 2009. Dominant texture and diffusion distance manifolds. Computer Graphics Forum 28, 2, 667--676.Google ScholarCross Ref
Index Terms
- A psychophysical study of dominant texture detection
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