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  Feature Preserving Depth Compression of Range Images

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.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1F3D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-5052-A
Genre: Conference Paper

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 Creators:
Kerber, Jens1, Author           
Belyaev, Alexander1, Author           
Seidel, Hans-Peter1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: 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.

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Language(s): eng - English
 Dates: 2008-03-142007
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356511
Other: Local-ID: C12573CC004A8E26-9117101D453F9ED4C12573C500540244-Kerber2007_1
BibTex Citekey: Kerber-et-al_SCCG07
DOI: 10.1145/2614348.2614363
 Degree: -

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Title: 23rd Spring Conference on Computer Graphics
Place of Event: Budmerice, Slovakia
Start-/End Date: 2007-04-26 - 2007-04-28

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Title: SCCG '07: Proceedings of the 23rd Spring Conference on Computer Graphics
  Abbreviation : SCCG 2007
Source Genre: Proceedings
 Creator(s):
Sbert, Mateu1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 101 - 105 Identifier: ISBN: 978-80-223-2292-8