2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
DOI: 10.1109/cvpr.2017.270
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General Models for Rational Cameras and the Case of Two-Slit Projections

Abstract: The rational camera model recently introduced in [19] provides a general methodology for studying abstract nonlinear imaging systems and their multi-view geometry. This paper builds on this framework to study "physical realizations" of rational cameras. More precisely, we give an explicit account of the mapping between between physical visual rays and image points (missing in the original description), which allows us to give simple analytical expressions for direct and inverse projections. We also consider "p… Show more

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Cited by 5 publications
(2 citation statements)
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“…Furthermore, a line model provides stable transformations to other reference frames [20][21][22]. The calibration algorithms as presented in [17,23,24] are line-model-based, but they still use non-obvious parameter models and appear to be too complicated for practical purposes. Alternatively, some authors avoid restrictions on the involved line variety, calibrating a universal line model through a data-driven learning process [18,25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, a line model provides stable transformations to other reference frames [20][21][22]. The calibration algorithms as presented in [17,23,24] are line-model-based, but they still use non-obvious parameter models and appear to be too complicated for practical purposes. Alternatively, some authors avoid restrictions on the involved line variety, calibrating a universal line model through a data-driven learning process [18,25,26].…”
Section: Introductionmentioning
confidence: 99%
“…For example, there are cameras that use the lines secant to two fixed skew lines; other cameras use the lines secant to an algebraic curve γ and to a line intersecting γ in deg γ − 1 points. For a discussion of the geometry of families of lines arising in the modeling of imaging systems, see [2,17] and the references therein.…”
Section: Introductionmentioning
confidence: 99%