Image feature processing method and device for dynamic image enhancement presentation

Abstract

The invention provides an image feature processing method for dynamic image enhancement presentation. The method comprises the following steps: acquiring a template image and an recognition image; according to a preset FAST algorithm, respectively detecting feature points of the template image and the recognition image; according to a preset BRIEF method, performing smooth fuzzy processing on the template image and the recognition image containing the feature key points, so that respective feature points of the template image and the recognition image can be represented by binary codes; and on the basis of the feature points represented by the template image and the recognition image through binary coding, a plurality of feature points with the matching degree meeting a preset condition between the template image and the recognition image are obtained through Hamming distance calculation, and the feature points are output. By implementing the method, the algorithm difficulty of augmented reality template image feature extraction can be reduced, the real-time requirement of feature extraction and matching is fully met, and the method is not influenced by image environment noisy points and transformation to a certain extent.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image feature processing method and device for dynamic image enhancement presentation. Background technique [0002] Augmented Reality (Augmented Reality) technology is a combination of computer graphics and computer vision, using image feature detection and matching, and mapping the space virtual reality fusion presentation technology on the 3D model and image. [0003] As a dimensional extension for humans to observe things in the real world, augmented reality technology can enhance the acquisition of digital information (such as text, images, 3D models, voice, etc.) of things, and realize dynamic interaction with virtual objects through simulation. Therefore, augmented reality technology is widely used in media entertainment, education and medical training, surgical virtual simulation, industrial manufacturing assistance, intelligent driving guidance and ot...

AI Technical Summary

Problems solved by technology

However, although natural feature extraction has gradually become the protagonist of augmented reality applications, the complexity of the algorithm is high, which cannot meet the needs of real-time feature matching in augmented reality applications, and is also affected by image environmental noise and transformation to a certain extent.

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