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Perception of simplification artifacts for animated characters

Published: 27 August 2011 Publication History

Abstract

For real-time animation of characters, Level of Detail (LOD) techniques are usually deployed to achieve optimal efficiency and realism. Tools that can aid an application designer or developer to deploy simplification methods and LOD representations under different circumstances are therefore needed. In this paper we explore the perception of texture, silhouette and lighting artifacts on simplified character models, including the effect animation intensity has on the perceptibility of these artifacts. We propose novel methods to simulate each artifact separately, and test their effects in isolation and cumulatively. Our results provide useful insights and guidelines, including the importance of silhouette preservation. An adaptation of PerceptualDiff for predicting simplification detection has been developed, which can be used to guide automatic model placement and LOD selection in realtime character applications.

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cover image ACM Conferences
APGV '11: Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
August 2011
128 pages
ISBN:9781450308892
DOI:10.1145/2077451
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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Publication History

Published: 27 August 2011

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  1. level of detail
  2. perception

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APGV '11 Paper Acceptance Rate 19 of 33 submissions, 58%;
Overall Acceptance Rate 19 of 33 submissions, 58%

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Cited By

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  • (2023)Crafting the MPEG metrics for objective and perceptual quality assessment of volumetric videosQuality and User Experience10.1007/s41233-023-00057-48:1Online publication date: 6-Jun-2023
  • (2021)Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01120(11353-11362)Online publication date: Jun-2021
  • (2019)Perception of virtual charactersACM SIGGRAPH 2019 Courses10.1145/3305366.3328101(1-17)Online publication date: 28-Jul-2019
  • (2019)Selecting texture resolution using a task‐specific visibility metricComputer Graphics Forum10.1111/cgf.1387138:7(685-696)Online publication date: 14-Nov-2019
  • (2015)A Survey of Real‐Time Crowd RenderingComputer Graphics Forum10.1111/cgf.1277435:8(32-50)Online publication date: 15-Oct-2015
  • (2014)Human Perception of Visual Realism for Photo and Computer-Generated Face ImagesACM Transactions on Applied Perception10.1145/262003011:2(1-21)Online publication date: 30-Jul-2014
  • (2014)Quality Assessment in Computer GraphicsVisual Signal Quality Assessment10.1007/978-3-319-10368-6_9(243-286)Online publication date: 16-Oct-2014
  • (2014)Mass Population: Plausible and Practical Crowd SimulationHandbook of Digital Games10.1002/9781118796443.ch6(146-174)Online publication date: 7-Mar-2014
  • (2013)Perceptual Metrics for Static and Dynamic Triangle MeshesComputer Graphics Forum10.1111/cgf.1200132:1(101-125)Online publication date: 15-Jan-2013
  • (2012)Real or Fake?SIGGRAPH Asia 2012 Technical Briefs10.1145/2407746.2407763(1-4)Online publication date: 28-Nov-2012

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