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Computer Vision and Image Understanding
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This paper proposes a scheme for the reliable reconstruction ofindoor scenes from a few catadioptric images.A set of hand-detectedcorrespondences are established across (but not necessarily all) images.Our improved method is used for the estimation of the essential matrixfrom appropriately normalized point coordinates.Motion parameters arecomputed by using the Hartley's decomposition.A heuristic method issuggested for selecting the point pairs which are most reliable for3D reconstruction. The known mid-point method is applied for computingthe 3D model of a real scene.The parameters of the catadioptric sensorare approximately known but no precise self-calibration method isperformed.The experiments show that a reliable 3D reconstruction ispossible even without complicated non-linear self-calibration and/orreconstruction methods.