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Systems and methods of fusing multi-angle view HD images based on epipolar geometry and matrix completion

机译:基于对极几何和矩阵完成度融合多角度高清图像的系统和方法

摘要

Systems and methods for image processing including a memory having stored multi-angled view images of a scene. Each multi-angled view image includes pixels, and at least one multi-angled view image includes a clouded area in the scene, resulting in missing pixels. A processor configured to align three multi-angled view images in the multi-angled view images to a target view angle of the scene, to form a set of aligned multi-angled view images representing a target point of view of the scene, at least one aligned multi-angled view image of the at least three multi-angled view images, has missing pixels due to the clouded area. Form a matrix using vectorized aligned multi-angled view images, wherein the matrix is incomplete due to the missing pixels. Complete the matrix using a matrix completion to combine the aligned multi-angled view images to produce a fused image of the scene without the clouded area.
机译:用于图像处理的系统和方法,包括具有已存储场景的多角度视图图像的存储器。每个多角度视图图像包括像素,并且至少一个多角度视图图像包括场景中的混浊区域,从而导致像素丢失。处理器,被配置为将多角度视图图像中的三个多角度视图图像对准场景的目标视角,以至少形成代表场景的目标视点的一组对准的多角度视图图像。至少三个多角度视图图像中的一个对齐的多角度视图图像由于云区域而缺少像素。使用矢量化对齐的多角度视图图像形成矩阵,其中由于缺少像素,矩阵不完整。使用矩阵补全功能完成矩阵的组合,以合并对齐的多角度视图图像,以生成没有云区域的场景融合图像。

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