System and method for indexed augmented reality based on ar books

Abstract

Disclosed are an AR book and an AR-book-based indexed augmented reality system and method. The system comprises an AR book, an augmented reality stylus, a terminal and a display module, wherein the augmented reality stylus is used to read the AR book and parse OID encoding in an encoding rule carried by an object to obtain feature information, and transmit the feature information to the terminal; and the terminal comprises a decryption module, a data factory control module, a query module, a playing module, a network data control module, a data downloading module, a network data interface and a cloud platform. By means of OID encoding, each OID encoding graphic is composed of many tiny points, which are difficult for human eyes to identify, according to a specific rule, and corresponds to a group of specific values. The clearest feature of a miniaturized base code different from that of the other optical identification codes lies in that the miniaturized base code not only has characteristics of confidentiality and low visual interference, but also is capable of being hidden under a colourful pattern of a printed product, thereby ensuring a high identification rate and a rapid response mechanism.

Description

technical field

[0001] The invention relates to an indexed augmented reality system and method based on AR books. Background technique

[0002] At present, the common AR application experience is all based on collecting images through cameras, analyzing relevant image recognition algorithms, and matching relevant features one by one to establish the relationship between images and resource indexes. In addition, to establish an image feature library, samples need to be provided in advance, and then uploaded to the server of a service provider that provides image recognition, and the service provider feeds back the feature library to provide analysis services.

[0003] However, the existing processing methods have the following disadvantages:

[0004] 1. The recognition rate is low and the recognition speed is slow. Since the pixels of different cameras are different in the process of picture collection, along with the diversity of the collection environment, the recognition...

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