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SORGATE: Extracting Geometry and Texture from Images of Solids of Revolution

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Advances in Visual Computing (ISVC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13017))

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Abstract

We describe SORGATE, a procedure for extracting geometry and texture from images of solids of revolution (SORs). It uses multivariate optimization to determine the parameters of the camera in order to build the viewing transform, as well as to reconstruct the geometry of the SOR using the silhouette. In addition to individual image analyses, it can use the data extracted from the same SOR viewed from different directions to produce a single, composite texture which can be combined with their blended geometries to produce a reconstructed 3D model. No prior knowledge other than the object’s rotational symmetry is required. Camera viewing parameters are derived directly from the image.

SORGATE is useful when 3D modeling of SORs is needed yet direct measurement the physical objects is infeasible. As it does not require camera calibration, it is also fast, inexpensive, and practical. One use case might be for researchers and curators who wish to display and/or analyze the art on historical vases; metric reconstruction and proper texturing of the objects would allow this without requiring viewing in person.

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Notes

  1. 1.

    Due to variations in camera pitch (\(\beta _{\mathrm {cam}}\)), textures need to be aligned vertically as well as horizontally, if only slightly. Figure 8 exaggerates this for illustration.

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Authors and Affiliations

  1. Washington State University, Tri-Cities, Richland, USA

    Antonio Ledesma & Robert R. Lewis

Authors
  1. Antonio Ledesma
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  2. Robert R. Lewis
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Correspondence to Robert R. Lewis .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

  2. University of Texas at Arlington, Arlington, TX, USA

    Vassilis Athitsos

  3. University of South Carolina, Columbia, SC, USA

    Tong Yan

  4. City University of Hong Kong, Kowloon, Hong Kong

    Manfred Lau

  5. School of Engineering and Computing, University of Durham, Durham, Durham, UK

    Frederick Li

  6. Airbnb, New York, NY, USA

    Conglei Shi

  7. Peking University, Beijing, China

    Xiaoru Yuan

  8. Purdue University, West Lafayette, IN, USA

    Christos Mousas

  9. IST, School of Modeling, Simulation, and Training, Orlando, FL, USA

    Gerd Bruder

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Ledesma, A., Lewis, R.R. (2021). SORGATE: Extracting Geometry and Texture from Images of Solids of Revolution. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2021. Lecture Notes in Computer Science(), vol 13017. Springer, Cham. https://doi.org/10.1007/978-3-030-90439-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-90439-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90438-8

  • Online ISBN: 978-3-030-90439-5

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