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Perceptual models of viewpoint preference

Authors:

Adam Finkelstein,

Andrew NealenAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 30, Issue 5

Article No.: 109, Pages 1 - 12

https://doi.org/10.1145/2019627.2019628

Published: 22 October 2011 Publication History

Abstract

The question of what are good views of a 3D object has been addressed by numerous researchers in perception, computer vision, and computer graphics. This has led to a large variety of measures for the goodness of views as well as some special-case viewpoint selection algorithms. In this article, we leverage the results of a large user study to optimize the parameters of a general model for viewpoint goodness, such that the fitted model can predict people's preferred views for a broad range of objects. Our model is represented as a combination of attributes known to be important for view selection, such as projected model area and silhouette length. Moreover, this framework can easily incorporate new attributes in the future, based on the data from our existing study. We demonstrate our combined goodness measure in a number of applications, such as automatically selecting a good set of representative views, optimizing camera orbits to pass through good views and avoid bad views, and trackball controls that gently guide the viewer towards better views.

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Cited By

Martin MSbert MChover M(2024)Viewpoint Selection for 3D-Games with f-DivergencesEntropy10.3390/e2606046426:6(464)Online publication date: 29-May-2024
https://doi.org/10.3390/e26060464
Chen CNguyen CGroueix TKim VWeibel N(2024)MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design FeedbackACM Transactions on Computer-Human Interaction10.1145/369468131:5(1-41)Online publication date: 4-Sep-2024
https://dl.acm.org/doi/10.1145/3694681
Matsushima TIwata KSakamoto NNonaka JBi C(2024)Information Entropy-based Camera Focus Point and Zoom Level Adjustment for Smart In-Situ VisualizationProceedings of the International Conference on High Performance Computing in Asia-Pacific Region10.1145/3635035.3635049(164-173)Online publication date: 18-Jan-2024
https://dl.acm.org/doi/10.1145/3635035.3635049
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Index Terms

Perceptual models of viewpoint preference
1. Computing methodologies
  1. Computer graphics
2. Software and its engineering
  1. Software organization and properties
    1. Contextual software domains
      1. Virtual worlds software

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Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 30, Issue 5

October 2011

198 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2019627

Issue’s Table of Contents

Copyright © 2011 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2011

Accepted: 01 July 2011

Revised: 01 June 2011

Received: 01 July 2010

Published in TOG Volume 30, Issue 5

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Cited By

Martin MSbert MChover M(2024)Viewpoint Selection for 3D-Games with f-DivergencesEntropy10.3390/e2606046426:6(464)Online publication date: 29-May-2024
https://doi.org/10.3390/e26060464
Chen CNguyen CGroueix TKim VWeibel N(2024)MemoVis: A GenAI-Powered Tool for Creating Companion Reference Images for 3D Design FeedbackACM Transactions on Computer-Human Interaction10.1145/369468131:5(1-41)Online publication date: 4-Sep-2024
https://dl.acm.org/doi/10.1145/3694681
Matsushima TIwata KSakamoto NNonaka JBi C(2024)Information Entropy-based Camera Focus Point and Zoom Level Adjustment for Smart In-Situ VisualizationProceedings of the International Conference on High Performance Computing in Asia-Pacific Region10.1145/3635035.3635049(164-173)Online publication date: 18-Jan-2024
https://dl.acm.org/doi/10.1145/3635035.3635049
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Cao ZHan JYang SJin X(2024)Fast best viewpoint selection with geometry-enhanced multiple views and cross-modal distillationThe Visual Computer10.1007/s00371-024-03708-5Online publication date: 25-Nov-2024
https://doi.org/10.1007/s00371-024-03708-5
Zhao ZSong CGu XDong YZuo QYuan WBo LDong ZHuang Q(2024)An Optimization Framework to Enforce Multi-view Consistency for Texturing 3D MeshesComputer Vision – ECCV 202410.1007/978-3-031-72764-1_9(145-162)Online publication date: 29-Sep-2024
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NAKAMURA YKATO KTERADA KTAKAHASHI TSHIOZAWA YAIZAWA H(2023)Sensory Inspection of Wood Grain by Traversing the GAN Latent SpaceGANの潜在空間探索を用いた木目画像の官能検査Journal of the Japan Society for Precision Engineering10.2493/jjspe.89.21389:2(213-220)Online publication date: 5-Feb-2023
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Hu PBoorboor SMarino JKaufman A(2023)Geometry-Aware Planar Embedding of Treelike StructuresIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.315387129:7(3182-3194)Online publication date: 1-Jul-2023
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