Publication | Closed Access
Euclidean reconstruction from constant intrinsic parameters
173
Citations
7
References
1996
Year
Unknown Venue
EngineeringGeometryImage AnalysisEuclidean ReconstructionConstant Intrinsic ParametersCamera CalibrationSignal ReconstructionComputational ImagingComputational GeometryIntrinsic ParametersGeometric ModelingMachine VisionReconstruction TechniqueInverse ProblemsStructure From MotionMedical Image ComputingComputer VisionNatural SciencesComputer Stereo Vision3D ReconstructionMulti-view Geometry
A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need "only" to find the correct Euclidean reconstruction among all possible projective reconstructions.
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