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Structure recovery with multiple cameras from scaled orthographic and perspective views

机译:使用多个摄像机从比例正投影和透视图恢复结构

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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.
机译:本文提出了一种利用比例正投影视图和透视图同时进行欧几里得结构恢复的新颖框架。引入比例缩放的正交视图以自动获取相机参数,例如相机位置,方向和焦距。缩放的正交属性可以隐式计算所有相机参数,透视属性可以恢复欧几里得结构。该方法可以在缩放的正交视图和透视图上恢复具有至少七个点对应关系的欧几里得结构。计算图像和自然图像的实验结果证明,该方法能够以足够的精度恢复结构,以证明其潜在的实用性。所提出的方法可以应用于3D建模,识别和跟踪的界面。

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