Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction

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Abstract

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
Original languageEnglish
Title of host publicationComputer Vision - ACCV '98. Third Asian Conference on Computer Vision. Proceedings
PublisherSpringer
Pages169-176
Volume2
ISBN (Print)3 540 63931 4
Publication statusPublished - 1997
EventComputer Vision - ACCV'98 - Hong Kong, China
Duration: 1998 Jan 81998 Jan 10

Publication series

Name
Volume2

Conference

ConferenceComputer Vision - ACCV'98
Country/TerritoryChina
CityHong Kong
Period1998/01/081998/01/10

Subject classification (UKÄ)

  • Mathematics

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