Abstract
Image sensor technology provides in recent years the tools for wide-angle and high-resolution 3D recording, analysis and modeling of static or dynamic scenes, ranging from small objects such as artifacts in a museum to large-scale 3D models of a castle or 3D city maps, also allowing real time 3D data acquisition from a moving platform, such as in vision-based driver assistance. The paper documents a particular subfield of these developments by providing mappings of omnidirectional images (catadioptric or dioptric images) into panoramic images on a cylinder. The mappings are specified by using the geometries of omnidirectional cameras. Image examples illustrate potentials for projects in arts, science or technology.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Torii, A., Klette, R. (2010). Panoramic and 3D Computer Vision. In: Huang, F., Wang, RC. (eds) Arts and Technology. ArtsIT 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11577-6_2
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DOI: https://doi.org/10.1007/978-3-642-11577-6_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11576-9
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