Volume

Dagstuhl Seminar Proceedings, Volume 7171

Publication Details

  • published at: 2008-05-28
  • Publisher: Schloss Dagstuhl – Leibniz-Zentrum für Informatik

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Document
DOI: 10.4230/DagSemProc.07171.1
07171 Abstracts Collection – Visual Computing – Convergence of Computer Graphics and Computer Vision

Authors: Markus Gross, Heinrich Müller, Hans-Peter Seidel, and Harry Shum

Abstract
From 22.04. to 27.04.2007, the Dagstuhl Seminar 07171 ``Visual Computing - Convergence of Computer Graphics and Computer Vision'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
Cite as

Markus Gross, Heinrich Müller, Hans-Peter Seidel, and Harry Shum. 07171 Abstracts Collection – Visual Computing – Convergence of Computer Graphics and Computer Vision. In Visual Computing - Convergence of Computer Graphics and Computer Vision. Dagstuhl Seminar Proceedings, Volume 7171, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{gross_et_al:DagSemProc.07171.1,
  author =	{Gross, Markus and M\"{u}ller, Heinrich and Seidel, Hans-Peter and Shum, Harry},
  title =	{{07171 Abstracts Collection – Visual Computing – Convergence of Computer Graphics and Computer Vision}},
  booktitle =	{Visual Computing - Convergence of Computer Graphics and Computer Vision},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7171},
  editor =	{Markus Gross and Heinrich M\"{u}ller and Hans-Peter Seidel and Harry Shum},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07171.1},
  URN =		{urn:nbn:de:0030-drops-15044},
  doi =		{10.4230/DagSemProc.07171.1},
  annote =	{Keywords: Image- and video-based modeling and rendering, perception-guided modeling and rendering, texture synthesis, scattering and reflectance measurement rendering, capturing reality (appearance, motion) from images, 3D acquisition and display, 3D reconstruction, image and model compression, computation}
}
Document
DOI: 10.4230/DagSemProc.07171.2
07171 Summary – Visual Computing – Convergence of Computer Graphics and Computer Vision

Authors: Markus Gross, Heinrich Müller, Hans-Peter Seidel, and Harry Shum

Abstract
Due to the importance of visual information for humans, visual computing is at the very core of the technologies enabling the modern information society. New and emerging technologies such as multimedia, digital television, telecommunication and telepresence, or virtual reality further indicate the tremendous potential of visual interaction with computers in the years to come. Typical for the field is the coincidence of very large data sets with the demand for fast, if possible interactive, user-adapted high quality visual display of the results. Furthermore, the user should be able to interact with the environment in a natural and intuitive way. In order to address the challenges mentioned above, a new and more integrated scientific view of Visual Computing is required that unifies the previously separate ''visual'' disciplines of computer graphics and computer vision. Computer graphics is traditionally concerned with generating visual interfaces of computers and applications to the user. Computer vision focuses on enabling computers to understand and interpret visual information from static images and video sequences.
Cite as

Markus Gross, Heinrich Müller, Hans-Peter Seidel, and Harry Shum. 07171 Summary – Visual Computing – Convergence of Computer Graphics and Computer Vision. In Visual Computing - Convergence of Computer Graphics and Computer Vision. Dagstuhl Seminar Proceedings, Volume 7171, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{gross_et_al:DagSemProc.07171.2,
  author =	{Gross, Markus and M\"{u}ller, Heinrich and Seidel, Hans-Peter and Shum, Harry},
  title =	{{07171 Summary – Visual Computing – Convergence of Computer Graphics and Computer Vision}},
  booktitle =	{Visual Computing - Convergence of Computer Graphics and Computer Vision},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7171},
  editor =	{Markus Gross and Heinrich M\"{u}ller and Hans-Peter Seidel and Harry Shum},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07171.2},
  URN =		{urn:nbn:de:0030-drops-15032},
  doi =		{10.4230/DagSemProc.07171.2},
  annote =	{Keywords: Image- and video-based modeling and rendering, perception-guided modeling and rendering, texture synthesis, scattering and reflectance measurement rendering, capturing reality (appearance, motion) from images, 3D acquisition and display, 3D reconstruction, image and model compression, computation}
}
Document
DOI: 10.4230/DagSemProc.07171.3
Image-Based Motion Compensation for Structured Light Scanning of Dynamic Surfaces

Authors: Stefan Gumhold and Sören König

Abstract
Structured light scanning systems based on temporal pattern codification produce dense and robust results on static scenes but behave very poorly when applied to dynamic scenes in which objects are allowed to move or to deform during the acquisition process. The main reason for this lies in the wrong combination of encoded correspondence information because the same point in the projector pattern sequence can map to different points within the camera images due to depth changes over time. We present a novel approach suitable for measuring and compensating such kind of pattern motion. The described technique can be combined with existing active range scanning systems designed for static surface reconstruction making them applicable for the dynamic case. We demonstrate the benefits of our method by integrating it into a gray code based structured light scanner, which runs at thirty 3d scans per second.
Cite as

Stefan Gumhold and Sören König. Image-Based Motion Compensation for Structured Light Scanning of Dynamic Surfaces. In Visual Computing - Convergence of Computer Graphics and Computer Vision. Dagstuhl Seminar Proceedings, Volume 7171, pp. 1-4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)

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@InProceedings{gumhold_et_al:DagSemProc.07171.3,
  author =	{Gumhold, Stefan and K\"{o}nig, S\"{o}ren},
  title =	{{Image-Based Motion Compensation for Structured Light Scanning of Dynamic Surfaces}},
  booktitle =	{Visual Computing - Convergence of Computer Graphics and Computer Vision},
  pages =	{1--4},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{7171},
  editor =	{Markus Gross and Heinrich M\"{u}ller and Hans-Peter Seidel and Harry Shum},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.07171.3},
  URN =		{urn:nbn:de:0030-drops-15022},
  doi =		{10.4230/DagSemProc.07171.3},
  annote =	{Keywords: 3d scanning, motion compensation, optical flow, structured light, dynamic surfaces}
}

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  • Authors
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  • Gross, Markus
  • Gumhold, Stefan
  • K
  • König, Sören
  • M
  • Müller, Heinrich
  • S
  • Seidel, Hans-Peter
  • Shum, Harry

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