Image splicing method and device thereof
An image and image stitching technology, applied in the field of computer vision, can solve problems such as difficult to achieve real-time effects, time-consuming, etc., and achieve the effect of avoiding the transmission of geometric estimation errors, simple calculation, and convenient expansion
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[0022] The method of stitching two images is the most studied case in image stitching, and its algorithm can often be extended to multiple image stitching. Therefore, in the following, the traditional image stitching method and the image stitching method of the present invention will be described by taking the stitching of two images as an example.
[0023] The first condition of image stitching is that two images have common image content, that is, the overlapping area. That is to say, part of the content in the two images is part of the content in the same scene. It is precisely because of the existence of overlapping areas that two images can be merged according to the overlapping areas, and finally the two images are stitched into one image. Therefore, the image stitching algorithm is to determine the overlapping area between the two images, and determine the position of the two images in a unified coordinate system according to the position of the overlapping area.
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