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Documents authored by Kolb, Andreas

Document
DOI: 10.4230/DagRep.7.10.14
HMM Imaging: Acquisition, Algorithms, and Applications (Dagstuhl Seminar 17411)

Authors: Gonzalo R. Arce, Richard Bamler, Jon Yngve Hardeberg, Andreas Kolb, and Shida Beigpour

Published in: Dagstuhl Reports, Volume 7, Issue 10 (2018)

Abstract
In the last couple of decades, hyperspectral, multispectral, and multimodal (HMM) imaging has emerged as an essential tool in various fields of science, medicine, and technology. Compared to integrated broad-band information as, e.g., present in RGB images, HMM imaging strives to acquire a multitude of specific narrow bands of the electromagnetic spectrum in order to solve specific detection or analysis tasks. HMM research is interested in studying light-matter interaction in a wide range of wavelengths from the high energy radiation down to Terahertz radiation (sub-millimeter waves). Furthermore, combining spectral data captured using different imaging modalities can unveil additional information of the scene that is not revealed solely by each of the individual imaging modalities. The workshop intended to connect researchers from different disciplines that involve HMM imaging and analysis. Even though there are very different approaches towards HMM imaging research and application, the main hypothesis of the workshop was that there is a large amount of common goals, approaches and challenges. Thus, these disciplines will benefit from intensifying communication and knowledge transfer and an out-of-the-box thinking and a broader vision of the fundamental concepts regarding common fields of interest, e.g., in the configuration of HMM acquisition systems, data analysis, and improved development techniques by common software bases and validation tools. The seminar succeeded in bringing together researchers from different scientific communities and fostering open-minded discussions across very different fields of research and application.
Cite as

Gonzalo R. Arce, Richard Bamler, Jon Yngve Hardeberg, Andreas Kolb, and Shida Beigpour. HMM Imaging: Acquisition, Algorithms, and Applications (Dagstuhl Seminar 17411). In Dagstuhl Reports, Volume 7, Issue 10, pp. 14-41, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{arce_et_al:DagRep.7.10.14,
  author =	{Arce, Gonzalo R. and Bamler, Richard and Hardeberg, Jon Yngve and Kolb, Andreas and Beigpour, Shida},
  title =	{{HMM Imaging: Acquisition, Algorithms, and Applications (Dagstuhl Seminar 17411)}},
  pages =	{14--41},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{7},
  number =	{10},
  editor =	{Arce, Gonzalo R. and Bamler, Richard and Hardeberg, Jon Yngve and Kolb, Andreas and Beigpour, Shida},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.7.10.14},
  URN =		{urn:nbn:de:0030-drops-86614},
  doi =		{10.4230/DagRep.7.10.14},
  annote =	{Keywords: compressive sensing, computer vision, hyperspectral and multispectral imaging and analysis, multi-modal sensor fusion, remote sensing and geoscience}
}
Document
DOI: 10.4230/DagRep.2.10.79
Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)

Authors: James Davis, Bernd Jähne, Andreas Kolb, Ramesh Raskar, and Christian Theobalt

Published in: Dagstuhl Reports, Volume 2, Issue 10 (2013)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12431 "Time-of-Flight Imaging: Algorithms, Sensors and Applications". The seminar brought together researchers with diverse background from both academia and industry to discuss various aspects of Time-of-Flight imaging and general depth sensors. The executive summary and abstracts of the talks given during the seminar as well as the outcome of several working groups on specific research topics are presented in this report.
Cite as

James Davis, Bernd Jähne, Andreas Kolb, Ramesh Raskar, and Christian Theobalt. Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431). In Dagstuhl Reports, Volume 2, Issue 10, pp. 79-104, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{davis_et_al:DagRep.2.10.79,
  author =	{Davis, James and J\"{a}hne, Bernd and Kolb, Andreas and Raskar, Ramesh and Theobalt, Christian},
  title =	{{Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)}},
  pages =	{79--104},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{2},
  number =	{10},
  editor =	{Davis, James and J\"{a}hne, Bernd and Kolb, Andreas and Raskar, Ramesh and Theobalt, Christian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.10.79},
  URN =		{urn:nbn:de:0030-drops-39044},
  doi =		{10.4230/DagRep.2.10.79},
  annote =	{Keywords: Time-of-Flight, Kinect^TM, depth sensor}
}
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