Machine learning-based high-definition panoramic image splicing device and an operation method thereof
A technology of image mosaic and operation method, which is applied in the direction of cleaning methods using tools, chemical instruments and methods, cleaning methods and utensils, etc. It can solve problems such as surface dust residue, unfavorable installation and adjustment for users, and influence on machine learning operations, etc., to achieve It is beneficial to screen expansion and placement, and improves the effect of stabilization
Pending Publication Date: 2021-11-16
江苏茂普智能科技有限公司
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Problems solved by technology
[0004] The purpose of the present invention is to provide a high-definition panoramic image stitching device based on machine learning and its operation method, to solve the problem of high-definition panoramic image stitching devices on the market proposed in the background technology above, it is difficult to perform both sides of the high-definition panoramic image stitching device. Expansion, its stability effect is not good, it is not conducive to the user to install and adjust, the dust residue on the surface is serious, which affects the problem of machine learning operation
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[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0031] In the description of the present invention, unless otherwise stated, the meaning of "plurality" is two or more; the terms "upper", "lower", "left", "right", "inner", "outer" , "front end", "rear end", "head", "tail", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather...
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The invention relates to a machine learning-based high-definition panoramic image splicing device and an operation method thereof. The machine learning-based high-definition panoramic image splicing device comprises a high-definition panoramic image screen frame, a movable plate and a fixed plate, the upper and lower sides of the high-definition panoramic image screen frame are provided with supporting plates, the two sides of the high-definition panoramic image screen frame are provided with sliding grooves, and the two sides of the sliding grooves are provided with protective frames; and clamping plates are arranged on the upper side and the lower side of the interior of the protection frame, one side of each clamping plate is connected with an expansion frame, and sliding frames are arranged at the top ends of the sliding grooves.The device has the beneficial effects that when the sliding box protection device is arranged on the two sides of the base, the base plate and the rotating column can be movably connected to the sliding box, so that the movable plate on the sliding box can be pushed to rotate, and therefore, when the two sides of the base are expanded, the movable plate which rotates can be effectively arranged on the two sides of the base in a protective manner, the screens on the two sides of the high-definition panoramic image splicing device are expanded, and the stabilizing effect is improved.
Description
technical field [0001] The invention relates to the technical field of high-definition panoramic image stitching devices, in particular to a machine learning-based high-definition panoramic image stitching device and its operating method. Background technique [0002] The high-definition panoramic image stitching device is mainly divided into image registration and image fusion. Image registration is the basis of image fusion, and the calculation amount of image registration algorithm is generally very large, so the development of image stitching technology depends largely on image registration. quasi-technical innovations. The early image registration technology mainly uses point matching method, which is slow, low precision, and often requires manual selection of initial matching points, which cannot adapt to the fusion of large data volume images. There are many methods of image stitching, and different algorithm steps will have certain differences, but the general proce...
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Login to View More IPC IPC(8): G06F1/16G06F3/14B08B1/00
CPCG06F1/1601G06F3/1446B08B1/143
Inventor 郑如军马鸣魏胤
Owner 江苏茂普智能科技有限公司