The world’s first photograph was taken by Joseph Nicphore Niépce (1775-1833) in 1826 on his country estate near Chalon-sur-Sane, France. The photo shows parts of farm buildings and some sky. Exposure time was eight hours. Niépce used a pinhole camera, known as camera obscura, and utilized pewter plates as the support medium for the photographic process. The camera obscura, the basic projection model of pinhole cameras, was first reported by the Chinese philosopher Mo-Ti (5th century BC): light rays passing through a pinhole into a darkened room create an upside-down image of the outside world.
Cameras used since Niépce are basically following the pinhole camera principle. The quality of projected images improved due to progress in optical lenses and silver-based film, the latter one replaced today by digital technologies. Pinhole-type cameras are still the dominating brands, and also used in computer vision for understanding 3D scenes based on captured images or videos.
However, different applications have pushed for designing alternative architectures of cameras. For example, in photogrammetry cameras are installed in planes or satellites, and a continues stream of image data can also be created by capturing images just line by line, one line at a time. As a second example, robots require to understand a scenery in full 360° to be able to react on obstacles or events; a camera looking upward into a parabolic or hyperbolic mirror allows this type of omnidirectional viewing. The development of alternative camera architectures also requires to understand related projective geometries for the purpose of camera calibration, binocular stereo, or static or dynamic scene understanding.
This abstract collection reports about contributions given at a seminar at the international computer science center in Dagstuhl (Germany) addressing basics and applications of alternative camera technologies, in particular in the context of computer vision, computer graphics, visualisation centers, camera producers, or application areas such remote sensing, surveillance, ambient intelligence, satellite or super-high resolution imaging. Examples of subjects are geometry and image processing on plenoptic modalities, multiperspective image acquisition, panoramic imaging, plenoptic sampling and editing, new camera technologies and related theoretical issues.
This abstract collection is structured into five parts on (1) sensor geometry for different camera architectures, also adressing calibration, (2) applications of non-pinhole cameras for analyzing motion, (3) mapping of 3D scenes into 3D models, (4) navigation of robots using new camera technologies, and (5) on specialized aspects of new sensors and other modalities.
New results and specific research strategies have been discussed at this seminar to approach this highly complex field. The seminar intention was to discuss theoretical fundamentals related to those issues and to specify open problems and major directions of further development in the field of new camera technologies related to computer vision, computer graphics and related applications. The seminar schedule was characterised by flexibility, working groups, and sufficient time for focused discussions.
The participants of this seminar enjoyed the atmosphere and the services at Dagstuhl very much. The quality of this center is unique.
There will be an edited volume of seminar papers (within the Kluwer series) with an expected publication date in early 2006.
- Kostas Daniilidis
- Reinhard Klette
- Ales Leonardis
- Elli Angelopoulou (Stevens Institute of Technology, US) [dblp]
- Helder Araujo (University of Coimbra, PT)
- Antonis Argyros (FORTH - Heraklion, GR)
- Hynek Bakstein (Czech Technical University, CZ)
- Joao Barretto (University of Pennsylvania - Philadelphia, US)
- John L. Barron (University of Western Ontario - London, CA)
- Steven S. Beauchemin (University of Western Ontario - London, CA) [dblp]
- Sven Behnke (Universität Bonn, DE) [dblp]
- Ryad Benosman (Univ. Pierre et Marie Curie, FR)
- Matthias Conrad (Universität zu Lübeck, DE)
- Konstantinos Daniilidis (University of Pennsylvania - Philadelphia, US)
- Doron Feldman (The Hebrew University of Jerusalem, IL)
- Chris Geyer (University of Pennsylvania - Philadelphia, US)
- Atsushi Imiya (Chiba University, JP) [dblp]
- Yan Ivanchenko (Tel Aviv University, IL)
- Matjaz Jogan (University of Ljubljana, SI)
- Gisela Klette (University of Auckland, NZ) [dblp]
- Reinhard Klette (University of Auckland, NZ) [dblp]
- Reinhard Koch (Universität Kiel, DE) [dblp]
- Andreas Koschan (University of Tennessee, Knoxville, US)
- Mohamed Kotb (University of Greenwich, GB)
- Ales Leonardis (University of Ljubljana, SI) [dblp]
- Marcus A. Magnor (TU Braunschweig, DE) [dblp]
- Ameesh Makadia (University of Pennsylvania - Philadelphia, US)
- Takashi Matsuyama (Kyoto University, JP)
- Hans-Hellmut Nagel (KIT - Karlsruher Institut für Technologie, DE)
- Jan Neumann (University of Maryland - College Park, US)
- Shmuel Peleg (The Hebrew University of Jerusalem, IL)
- Robert Pless (Washington University - St. Louis, US)
- Jürgen Prestin (Universität zu Lübeck, DE)
- Alex Rav-Acha (The Hebrew University of Jerusalem, IL)
- Ralf Reulke (HU Berlin, DE)
- Hideo Saito (Keio University, JP)
- Karsten Scheibe (DLR - Berlin, DE)
- Sanjiv Singh (Carnegie Mellon University - Pittsburgh, US)
- Peter Sturm (INRIA - Grenoble, FR)
- Rahul Swaminathan (TU Berlin, DE)
- Akihiko Torii (Chiba University, JP) [dblp]
- René Vidal (Johns Hopkins University - Baltimore, US) [dblp]
- Felix von Hundelshausen (FU Berlin, DE)
- Paul Whelan (Dublin City University, IE)
- Dagstuhl Seminar 9411: Theoretical Foundations of Computer Vision (1994-03-14 - 1994-03-18) (Details)
- Dagstuhl Seminar 9612: Theoretical Foundations of Computer Vision (1996-03-18 - 1996-03-22) (Details)
- Dagstuhl Seminar 98111: Evaluation and Validation of Computer Vision Algorithms (1998-03-16 - 1998-03-20) (Details)
- Dagstuhl Seminar 00111: Multi-Image Search, Filtering, Reasoning and Visualisation (2000-03-12 - 2000-03-17) (Details)
- Dagstuhl Seminar 02151: Theoretical Foundations of Computer Vision -- Geometry, Morphology, and Computational Imaging (2002-04-07 - 2002-04-12) (Details)
- Dagstuhl Seminar 06241: Human Motion - Understanding, Modeling, Capture and Animation. 13th Workshop on Theoretical Foundations of Computer Vision (2006-06-11 - 2006-06-16) (Details)
- Dagstuhl Seminar 08291: Statistical and Geometrical Approaches to Visual Motion Analysis. 14th Workshop “Theoretic Foundations of Computer Vision” (2008-07-13 - 2008-07-18) (Details)
- Dagstuhl Seminar 11261: Outdoor and Large-Scale Real-World Scene Analysis. 15th Workshop "Theoretic Foundations of Computer Vision" (2011-06-26 - 2011-07-01) (Details)
- Dagstuhl Seminar 15081: Holistic Scene Understanding (2015-02-15 - 2015-02-20) (Details)