ORB algorithm based multipath rapid video splicing algorithm with image registering and image fusion in parallel

Abstract

The invention relates to an ORB algorithm based multipath rapid video splicing algorithm with image registering and image fusion in parallel, and relates to the field of computer vision. The method comprises the steps that S1) a self-adaption based image registering model is established, and an optimal image translation parameter is calculated by self-adaption; S2) according to the optimal image translation parameter in S1) image fusion is carried out on overlapped areas of two frames of images on the basis of a fading-in and fading-out weighted average method, so that two object images are fused and spliced into a panorama image, and splicing of an object video is realized; and S3) a bilateral filter carry out de-noising on the panorama image obtained in the S2), and then a high-quality clear splicing image is output. The algorithm of the invention is high in calculation efficiency, low in computational complexity and fully satisfies the requirement for instantaneity.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an ORB algorithm-based image registration and image fusion parallel multi-channel video fast mosaic algorithm. Background technique [0002] In daily life, it is often necessary to obtain panoramic images of wide viewing angles and large scenes, but due to the limitation of physical factors in camera equipment, only partial images of large scenes can be obtained. Although some hardware devices, such as fisheye cameras and wide-angle lenses, can obtain panoramic images, they are expensive and not suitable for widespread use. In order to obtain real-time global large-scale image information, it is usually necessary to deploy multiple network cameras in large-scale scenes with a wide field of view such as airports, docks, squares, and traffic intersections. Although this method can obtain more monitoring ranges, the display of the scene is divided into multiple sub-windows, which can...

AI Technical Summary

Problems solved by technology

Traditional image registration algorithms generally have various deficiencies: For example, most algorithms are difficult to meet real-time requirements due to complex calculations and large amounts of calculations, or cannot filter out ghosts generated during image fusion.

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