Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction

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11 Citeringar (SciVal)

Sammanfattning

We investigate the constraints on the intrinsic parameters that are needed in order to reconstruct an unknown scene from a number of its projective images. Two such minimal cases are studied in detail. Firstly, it is shown that it is sufficient to know the skew parameter, even if all other parameters are unknown and varying, to obtain an Euclidean reconstruction. Secondly, the same thing can be done for known aspect ratio, again when all other intrinsic parameters are unknown and varying. In fact, we show that it is sufficient to know any of the 5 intrinsic parameters to make Euclidean reconstruction. An algorithm, based upon bundle adjustment techniques, to obtain Euclidean reconstruction in the above mentioned cases are presented. Experiments are shown on the slightly simpler case of both known aspect ratio and skew
Originalspråkengelska
Titel på gästpublikationComputer Vision - ACCV '98. Third Asian Conference on Computer Vision. Proceedings
FörlagSpringer
Sidor169-176
Volym2
ISBN (tryckt)3 540 63931 4
StatusPublished - 1997
EvenemangComputer Vision - ACCV'98 - Hong Kong, Kina
Varaktighet: 1998 jan 81998 jan 10

Publikationsserier

Namn
Volym2

Konferens

KonferensComputer Vision - ACCV'98
Land/TerritoriumKina
OrtHong Kong
Period1998/01/081998/01/10

Ämnesklassifikation (UKÄ)

  • Matematik

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