Structure recovery with multiple cameras from scaled orthographic and perspective views
| Autor: | Jiro Katto, Mutsumi Ohta, A. Marugame |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
business.industry
Orientation (computer vision) Applied Mathematics Orthographic projection Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Iterative reconstruction 3D modeling Computational geometry Computational Theory and Mathematics Artificial Intelligence Focal length Point (geometry) Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software Mathematics |
| Zdroj: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 21:628-633 |
| ISSN: | 2160-9292 0162-8828 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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