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Feature preserving depth compression of range images

Published: 26 April 2007 Publication History

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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Fattal, R., Lischinski, D., and Werman, M. 2002. Gradient domain high dynamic range compression. In SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques, ACM Press, New York, NY, USA, 249--256.
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Guskov, I., Sweldens, W., and Schröder, P. 1999. Multiresolution signal processing for meshes. Computer Graphics Proceedings (SIGGRAPH 99), 325--334.
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Luft, T., Colditz, C., and Deussen, O. 2006. Image enhancement by unsharp masking the depth buffer. ACM Transactions on Graphics 25, 3 (jul), 1206--1213.
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Pasko, A. A., Savchenko, V., and Sourin, A. 2001. Synthetic carving using implicit surface primitives. Computer-Aided Design, Elsevier 33, 5, 379--388.
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Song, W., Belyaev, A., and Seidel, H.-P. 2007. Automatic generation of bas-reliefs from 3D shapes. In Shape Modeling International 2007. to appear.
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  • (2023)Unsupervised bas-relief generation with angle defect2023 35th Chinese Control and Decision Conference (CCDC)10.1109/CCDC58219.2023.10326788(4911-4916)Online publication date: 20-May-2023
  • (2023)Unsupervised bas-relief generation with feature transferringMultimedia Tools and Applications10.1007/s11042-023-16111-483:5(13181-13195)Online publication date: 5-Jul-2023
  • (2022)Portrait Relief Modeling and Animation Making through Convolutional Neural NetworksJournal of Computer-Aided Design & Computer Graphics10.3724/SP.J.1089.2022.1917834:09(1469-1476)Online publication date: 2-Dec-2022
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cover image ACM Other conferences
SCCG '07: Proceedings of the 23rd Spring Conference on Computer Graphics
April 2007
242 pages
ISBN:9781605589565
DOI:10.1145/2614348
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Comenius University: Comenius University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2007

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Author Tags

  1. compression
  2. computer art
  3. feature
  4. range image
  5. relief
  6. shape deformation

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  • Research-article

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SCCG07
Sponsor:
  • Comenius University
SCCG07: Spring Conference on Computer Graphics
April 26 - 28, 2007
Budmerice, Slovakia

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Overall Acceptance Rate 67 of 115 submissions, 58%

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Cited By

View all
  • (2023)Unsupervised bas-relief generation with angle defect2023 35th Chinese Control and Decision Conference (CCDC)10.1109/CCDC58219.2023.10326788(4911-4916)Online publication date: 20-May-2023
  • (2023)Unsupervised bas-relief generation with feature transferringMultimedia Tools and Applications10.1007/s11042-023-16111-483:5(13181-13195)Online publication date: 5-Jul-2023
  • (2022)Portrait Relief Modeling and Animation Making through Convolutional Neural NetworksJournal of Computer-Aided Design & Computer Graphics10.3724/SP.J.1089.2022.1917834:09(1469-1476)Online publication date: 2-Dec-2022
  • (2022)Variety decorative bas‐relief generation based on normal prediction and transferComputer Animation and Virtual Worlds10.1002/cav.206833:3-4Online publication date: 21-Jun-2022
  • (2020)Bas-Relief Modeling With Detail Preservation and Local Significance EnhancementIEEE Access10.1109/ACCESS.2020.29772288(44190-44201)Online publication date: 2020
  • (2020)ReliefNet: Fast Bas-relief Generation from 3D ScenesComputer-Aided Design10.1016/j.cad.2020.102928(102928)Online publication date: Aug-2020
  • (2019)Computer‐assisted Relief Modelling: A Comprehensive SurveyComputer Graphics Forum10.1111/cgf.1365538:2(521-534)Online publication date: 7-Jun-2019
  • (2017)Ubiquitous Creation of Bas-Relief Surfaces with Depth-of-Field Effects Using SmartphonesSensors10.3390/s1703057217:3(572)Online publication date: 11-Mar-2017
  • (2017)An algorithm for the rapid generation of bas-reliefs based on point cloudsGraphical Models10.1016/j.gmod.2017.09.00294:C(1-13)Online publication date: 1-Nov-2017
  • (2017)Generation of cartoon-style bas-reliefs from photographsMultimedia Tools and Applications10.1007/s11042-017-5343-0Online publication date: 28-Oct-2017
  • Show More Cited By

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