Image Abstraction by Structure Adaptive Filtering
Jan Eric Kyprianidis Jürgen Döllner
Hasso-Plattner-Institut, Germany
Poster at 6th Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2008
Abstract
Photorealistic visualizations used in 3D applications designed for typical desktops usually show high visual information density. We present non-photorealistic image processing techniques to distill the perceptually important information and optimize the content for the limited screen space of small displays. Our method extends the approach of [Winnemöller et al. 2006] to use iterated bilateral filtering for abstraction and difference-of-Gaussians (DoG) for edge extraction by adapting it to the local orientation of the input.
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Citation
Kyprianidis, J. E., & Döllner, J. (2008). In 6th Symposium on Non-Photorealistic Animation and Rendering (NPAR), Poster Session.
@inproceedings{ kyprianidis-npar2008,
author = { Kyprianidis, Jan Eric and D{\"o}llner, J{\"u}rgen },
title = { Image Abstraction by Structure Adaptive Filtering },
booktitle = { Poster at Symposium on Non-Photorealistic Animation and Rendering (NPAR) },
year = { 2008 }
}
Related
- Kyprianidis, J. E. & Döllner, J. (2008). Image Abstraction by Structure Adaptive Filtering. In Proc. EG UK Theory and Practice of Computer Graphics, pp. 51–58, Eurographics Association.
- Kyprianidis, J. E. & Döllner, J. (2009). Real-Time Image Abstraction by Directed Filtering. In W. Engel (Ed.), ShaderX7 – Advanced Rendering Techniques. Charles River Media.