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Multiview 3D reconstruction based on vanishing points and homography

机译:基于消失点和单应性的多视图3D重建

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3D reconstruction is one of the long lasting research topics in computer vision. It is the task of regenerating a model in three-dimensional (3D) space by images taken from the scene. An image-based method for 3D reconstruction based on intersection of planar visual hulls from projective images taken by multiview videos is proposed. Reconstruction can be performed without any further information related to camera calibration, feature extraction, and dense matching. This process computes the homography of reference plane along with one corresponding point off the reference plane, and vanishing points in all views. The 2D visual hulls along the object structure are generated. By stacking 2D visual hull slices, the 3D model of the object is obtained efficiently with least imposed constraints.
机译:3D重建是计算机视觉中长期存在的研究主题之一。它是通过从场景中获取的图像在三维(3D)空间中重新生成模型的任务。提出了一种基于图像的3D重建方法,该方法基于多视点视频拍摄的投影图像中的平面视觉外壳的交集。无需任何与相机校准,特征提取和密集匹配有关的任何其他信息即可执行重建。此过程计算参考平面的单应性以及离开参考平面的一个对应点,以及所有视图中的消失点。生成沿对象结构的2D视觉外壳。通过堆叠2D视觉船体切片,可以以最少的约束条件有效地获得对象的3D模型。

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