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- Aaboen, Lise, 1978
(författare)
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Business Incubators as Networks - How and Why?
- 2008
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Ingår i: Proceedings of ECEI 2008 The 3rd European Conference on Entrepreneurship and Innovation. - 9781906638153 ; , s. 1-8
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Konferensbidrag (refereegranskat)
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- Aalto, Susanne, 1964
(författare)
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Chemistry in luminous AGN and starburst galaxies
- 2008
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Ingår i: Proceedings of "Science with the Atacama Large Millimeter Array", eds. R. Bachiller and J. Cernicharo, Madrid, 13-17 Nov 2006, Springer. - 9781402069345 ; , s. 273-278
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- Aalto, Susanne, 1964
(författare)
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Chemistry in the Dense Molecular Gas of Starburst Galaxies and AGNs
- 2006
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Ingår i: In "Astrochemistry: Throughout the Universe: Recent Successes and current Challenges". Proc. of 31st Symp. of the IAU, Pacific Grove, California, Sept. 2005, eds. D.C. Lis, G.A. Blake, E. Herbst, Cambridge University Press. ; , s. 261-270
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Konferensbidrag (refereegranskat)
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- Aalto, Susanne, 1964
(författare)
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Molecular Gas and Starformation in Interacting Galaxies
- 2004
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Ingår i: in Proceedings of "The Neutral ISM in Starburst Galaxies", Marstrand, June 2003, eds. Aalto S., Huettemeister S., Pedlar A., Astron. Soc. of the Pac. Conf. Series, San Francisco. - 1583811826 ; , s. 3-18
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Konferensbidrag (refereegranskat)
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- Aalto, Susanne, 1964
(författare)
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Probing Molecular Gas Properties in Starbursts and AGNs
- 2005
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Ingår i: in Proceedings of The Evolution of Starbursts, Bad Honnef 16-20 August 2004, AIP Conference Proceedings, American Institute of Physics. - 0735402701 ; :783, s. 123-134
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Konferensbidrag (refereegranskat)
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- Aanæs, Henrik, et al.
(författare)
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Camera Resectioning from a Box
- 2009
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Ingår i: Lecture Notes in Computer Science. - 0302-9743 .- 1611-3349.
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Konferensbidrag (refereegranskat)abstract
- In this paper we describe how we can do camera resectioning from a box with unknown dimensions, i.e. determine the camera model, assuming that image pixels are square. This assumption is equivalent to assuming that the camera as an aspect ratio of one and zero skew, and holds for most - if not all - digital cameras. Our proposed method works by first deriving 9 linear constraints on the projective camera matrix from the box, leaving a 3 dimensional subspace in which the projective camera matrix can lye. A single solution in this 3D subspace is then found via a method by Triggs in 1999, which uses the squared pixel assumption to set up a 4th degree polynomial to which the solution is the desired model. This approach is, however, numerically challenging, and we use several means to combat this issue. Lastly the solution is refined in an iterative manner, i.e. using bundle adjustment.
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