SIFT-based advertisement material and on-site photo automatic matching evaluation method, storage medium and computer equipment

Abstract

The invention relates to an SIFT-based advertisement material and on-site picture automatic matching evaluation method, a storage medium and computer equipment, and the method comprises the steps: carrying out the feature point extraction of an advertisement material picture and an on-site picture, carrying out the quick matching of feature points, and removing the feature points of which the distance is greater than a preset distance range; if the number of the feature point groups meeting the distance range reaches four or more, calculating a homography matrix of the advertisement material picture feature points mapped to the field picture feature points; mapping the vertex coordinates of the advertisement material picture to the on-site picture to obtain a polygon A formed by the mappedvertex set, forming a polygon B by the vertex set of the field picture, and calculating the intersection of the two polygons A and B on the on-site picture to form a polygon S; and judging whether the polygon S is a convex quadrangle, and if so, calculating an automatic matching evaluation score of the shooting quality of the on-site picture through a preset evaluation model. According to the invention, the cost of manual auditing is effectively reduced, and the problem of inconsistent auditing standards of different personnel is solved.

Description

technical field [0001] The invention relates to the technical field of image processing, and relates to a SIFT-based automatic matching evaluation method for advertising materials and on-site photos, storage media and computer equipment. Background technique [0002] With the development of the advertising industry, advertisers require advertising providers to take pictures of on-site electronic advertising screens for upper and lower publications and monitoring broadcasts to ensure the completion of advertising and confirm the effect of on-site advertising. However, there are still a series of problems whether it is the advertising provider taking pictures and recording the electronic advertising screen when the advertising provider is uploading and publishing, or the third-party company is monitoring the broadcast. For example, due to factors such as camera angle, light, and focus, the on-site photographers made the advertising content in the on-site photos not clear and d...

AI Technical Summary

Problems solved by technology

This method can match the feature points of the two pictures, but it still needs to be completed in combination with other methods to determine whether the creative material actually appears in the on-site picture, and whether the captured on-site picture meets the photo requirements of the upper and lower publications and broadcast monitoring functions.

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