Structure recovery with multiple cameras from scaled orthographic and perspective views

This paper presents a novel framework for Euclidean structure recovery utilizing a scaled orthographic view and perspective views simultaneously. A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scale...

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Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence 1999-07, Vol.21 (7), p.628-633
Hauptverfasser: Marugame, A., Katto, J., Ohta, M.
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Katto, J.
Ohta, M.
description This paper presents a novel framework for Euclidean structure recovery utilizing a scaled orthographic view and perspective views simultaneously. A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scaled orthographic properties enable all camera parameters to be calculated implicitly and perspective properties enable a Euclidean structure to be recovered. The method can recover a Euclidean structure with at least seven point correspondences across a scaled orthographic view and perspective views. Experimental results for both computed and natural images verify that the method recovers structure with sufficient accuracy to demonstrate potential utility. The proposed method can be applied to an interface for 3D modeling, recognition and tracking.
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subjects Calibration
Cameras
Geometrical optics
Image sequences
Industrial relations
Layout
Length measurement
Lenses
Mathematical models
Orthographic
Recovery
Three dimensional
Tracking
Utilities
title Structure recovery with multiple cameras from scaled orthographic and perspective views
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