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|a (DE-627)NLM166619965
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|a (NLM)17108375
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Schweighofer, Gerald
|e verfasserin
|4 aut
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|a Robust pose estimation from a planar target
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|c 2006
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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|a Band
|b nc
|2 rdacarrier
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|a Date Completed 26.12.2006
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|a Date Revised 19.11.2006
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|a published: Print
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|a Citation Status MEDLINE
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|a In theory, the pose of a calibrated camera can be uniquely determined from a minimum of four coplanar but noncollinear points. In practice, there are many applications of camera pose tracking from planar targets and there is also a number of recent pose estimation algorithms which perform this task in real-time, but all of these algorithms suffer from pose ambiguities. This paper investigates the pose ambiguity for planar targets viewed by a perspective camera. We show that pose ambiguities--two distinct local minima of the according error function--exist even for cases with wide angle lenses and close range targets. We give a comprehensive interpretation of the two minima and derive an analytical solution that locates the second minimum. Based on this solution, we develop a new algorithm for unique and robust pose estimation from a planar target. In the experimental evaluation, this algorithm outperforms four state-of-the-art pose estimation algorithms
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Pinz, Axel
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 28(2006), 12 vom: 16. Dez., Seite 2024-30
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:28
|g year:2006
|g number:12
|g day:16
|g month:12
|g pages:2024-30
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|d 28
|j 2006
|e 12
|b 16
|c 12
|h 2024-30
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