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LARGE-SCALE SCENE VIDEO IMAGE STITCHING METHOD

机译:大型场景视频图像拼接方法

摘要

Disclosed is a large-scale scene video image stitching method. The method comprises: collecting two pieces of video data whose shooting scenes are overlapped; extracting two background images from the two pieces of video data, calculating a homography transformation matrix between the two background images, and determining an overlapped background area of the two background images by using the homography transformation matrix; and using a background transformation matrix to transform, stitch and fuse the two background images to obtain a background stitching image of a current frame; extracting two foreground images frame by frame from the two pieces of video data; and extracting and performing matching between feature points of the foreground images in the overlapped background area, adjusting image translation parameters in the background transformation matrix according to a position relationship between matching feature points, so as to obtain a transformation matrix of the foreground images, and transforming, stitching and fusing the two foreground images by using a foreground transformation matrix; and synthesizing a foreground stitching image and the background stitching image into a stitching image of the current frame. Embodiments of the present invention can meet the requirement for real-time performance of stitching.
机译:公开了一种大规模场景视频图像拼接方法。该方法包括:收集拍摄场景重叠的两条视频数据;从两个视频数据中提取两个背景图像,计算两个背景图像之间的单应性变换矩阵,并通过该单应性变换矩阵确定两个背景图像的重叠背景区域;使用背景变换矩阵对两个背景图像进行变换,拼接和融合,得到当前帧的背景拼接图像;从两个视频数据中逐帧提取两个前景图像;在重叠的背景区域中提取前景图像的特征点并进行匹配,根据匹配特征点之间的位置关系调整背景变换矩阵中的图像平移参数,得到前景图像的变换矩阵;通过使用前景变换矩阵对两个前景图像进行变换,拼接和融合;将前景拼接图像和背景拼接图像合成为当前帧的拼接图像。本发明实施例可以满足拼接实时性的要求。

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