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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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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 1999-07, Vol.21 (7), p.628-633
Main Authors: Marugame, A., Katto, J., Ohta, M.
Format: Article
Language:English
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Summary: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.
ISSN:0162-8828
2160-9292
DOI:10.1109/34.777373