High-speed rotating focal length self-adaptive panoramic imaging method

Abstract

The invention discloses a high-speed rotating focal length self-adaptive panoramic imaging method. The method comprises a first step of acquiring images of a current rotating period captured by a camera, wherein a round of rotation of the camera represents a rotating period; a second step of deblurring the images; a third step of splicing and fusing the images; and a fourth step of changing the angle of view of the camera, rotating again, repeating steps from one to four, and acquiring a panoramic image. Through adoption of the method, the technical problem of low definition of refraction and reflection panoramic images is solved, and impact of deformation of conventional refraction and reflection panoramic visual images is eliminated.

Description

technical field [0001] The invention belongs to the field of machine vision, and in particular relates to a high-speed rotational focal length self-adaptive panoramic imaging method for obtaining high-definition panoramic images. Background technique [0002] Panoramic vision can perceive and obtain powerful advantages of up to 360° visual information, making panoramic vision widely used in many fields. [0003] Civilian field: As an important means of obtaining environmental information, panoramic vision has been widely used in distance education, virtual reality and video surveillance at traffic intersections. In terms of video surveillance at traffic intersections, traditional catadioptric panoramic images cannot obtain clear images of traffic conditions, which leads to the thinking of solving the clarity of panoramic images. Traditional image acquisition methods can no longer meet the requirements for information accuracy and information breadth brought about by the dev...

AI Technical Summary

Problems solved by technology

In terms of video surveillance at traffic intersections, traditional catadioptric panoramic images cannot obtain clear images of traffic conditions, which leads to the thinking of solving the clarity of panoramic images

The traditional image acquisition method can no longer meet the requirements for information accuracy and information breadth brought about by the development of science and technology, and the catadioptric panoramic vision cannot acquire external environmental information adaptive zoom, which hinders the development of panoramic vision

Improving the clarity of panoramic vision images and realizing adaptive zoom panoramic images is a major challenge at present

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