Image stitching test method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses an image stitching test method and device, equipment and a storage medium. The method comprises the steps: shooting two entities or non-entities in a solid plane in real time, splicing the shot images, repeatedly executing the above operations until the specified points on the two entities or non-entities in the spliced image are superposed, wherein when the designated points on the two entities or non-entities coincide, the designated points on the two entities or non-entities are two equivalent points of a target point on the image splicing seam, determining the distance between the specified points on the two entities or non-entities, and calculating the optimal splicing distance from the target point to the multi-view splicing equipment in combination with the parameters of the multi-view splicing equipment. According to the embodiment of the invention, the test of the optimal splicing distance of the splicing points can be completed by measuring the distances between the equivalent entities or non-entities of the splicing points in the solid plane and integrating the equipment parameters, live-action test is not needed, the test manpower is reduced, and the test precision is improved.

Description

technical field

[0001] The embodiments of the present invention relate to the field of monitoring, and in particular to an image splicing test method, device, equipment and storage medium. Background technique

[0002] In the monitoring field, in order to make the monitoring screen wider, multiple cameras are usually used for image collection, and the collected images are spliced ​​into one screen when outputting. Since there are stitching traces in the images stitched by the multi-eye stitching device, it is necessary to measure the stitching effect of the device. At present, the splicing effect of test equipment needs to be installed in the actual scene, so as to verify the effect of splicing equipment in different scenarios, heights and object distances. However, there are certain deficiencies in the way of real-world testing: the scene is single, the consumption of manpower and material resources is large, and it is impossible to judge whether it has scene adaptability....

Images