NORMAL SYNTHESIS ON RGBN IMAGES

Thiago Pereira, Luiz Velho

Abstract

In this work, we synthesize normals and color to add geometric details to an RGBN image (image with a color and a normal channel). Existing modeling and image processing tools are not apt to edit RGBN images directly. Since high resolution RGBN images can be obtained using photometric stereo, we used them as full models and as exemplars in a Texture from Example synthesis. Our method works on RGBN images by combining the normals from two bands: base shape and details. We use a high pass filter to extract a texture exemplar, which is synthesized over the model’s smooth normals, taking into account foreshortening corrections. We also discuss conditions on the exemplars and models that guarantee that the resulting normal image is a realizable surface.

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Paper Citation


in Harvard Style

Pereira T. and Velho L. (2010). NORMAL SYNTHESIS ON RGBN IMAGES . In Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2010) ISBN 978-989-674-026-9, pages 13-20. DOI: 10.5220/0002813800130020


in Bibtex Style

@conference{grapp10,
author={Thiago Pereira and Luiz Velho},
title={NORMAL SYNTHESIS ON RGBN IMAGES},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2010)},
year={2010},
pages={13-20},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002813800130020},
isbn={978-989-674-026-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2010)
TI - NORMAL SYNTHESIS ON RGBN IMAGES
SN - 978-989-674-026-9
AU - Pereira T.
AU - Velho L.
PY - 2010
SP - 13
EP - 20
DO - 10.5220/0002813800130020