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Feature Preserving Depth Compression of Range Images

MPG-Autoren
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Kerber,  Jens
Computer Graphics, MPI for Informatics, Max Planck Society;

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Belyaev,  Alexander
Computer Graphics, MPI for Informatics, Max Planck Society;

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Seidel,  Hans-Peter       
Computer Graphics, MPI for Informatics, Max Planck Society;

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Zitation

Kerber, J., Belyaev, A., & Seidel, H.-P. (2007). Feature Preserving Depth Compression of Range Images. In M. Sbert (Ed.), SCCG '07: Proceedings of the 23rd Spring Conference on Computer Graphics (pp. 101-105). New York, NY: ACM.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-000F-1F3D-2
Zusammenfassung
In this paper we present a new and efficient method for the
depth-compression of range images in a feature preserving way.
Given a range image (a depth field), the problem studied in the paper
consists of achieving a high compression of the depth data while
preserving (or even enhancing) perceptually important features
of the image. Our approach works in the gradient domain.
It combines a linear rescaling scheme with a simple enhancing
technique applied to the gradient of the image. The new depth field
is obtained from the enhanced and rescaled derivatives of initial range
image. By four parameters a user can steer the compression ratio and
the amount of details to be perceivable in the outcome.
Experiments have shown that our method works very well even
for high compression ratios. Applications can be of artistic
nature e.g. embossment, engraving or carving.