Method and system for realizing simulated scene tracking based on picture tracking

Abstract

The invention discloses a method for realizing simulated scene tracking based on picture tracking, which comprises the following steps of: S1, image acquisition: capturing a scene image to be used formanufacturing a target image for identification and tracking, and performing shooting and screen capture by analyzing the scene image to acquire the content of the target image; s2, image optimization: obtaining the scene image in the step S1, reading image pixel information of the scene image, and carrying out optimization correction cutting storage; s3, feature point extraction: extracting image texture feature points according to the image pixel information of the optimized image, and constructing feature point target information; step S4, identifying and tracking: after feature point extraction is completed, starting identification tracking, firstly acquiring a real-time picture of the camera, performing feature point identification, matching feature point information of the real-timepicture with target information, completing successfully matching when the feature point information stably reaches a matching threshold value, and calculating and updating the position of the mobileterminal equipment in the coordinate system in real time according to the position change of the feature point group; and S5, content display: generating a product AR image and loading the product ARimage in a display picture of the terminal equipment, so that an observer can observe the appearance and the internal structure of the product by 360 degrees, and the product is always displayed in the middle of a screen of the terminal equipment.

Description

technical field [0001] The invention relates to the technical field of augmented reality, in particular, the invention relates to a method and system for realizing simulation scene tracking based on image tracking. Background technique [0002] Augmented Reality (AR for short) is a technology that calculates the position and angle of the camera image in real time and adds the corresponding image. The goal of this technology is to put the virtual world on the screen and interact with the real world. [0003] In the existing AR application scenarios, in order to realize the combination of virtual and real, that is, display the real picture and the virtual model on the mobile device at the same time and keep the virtual model at a fixed position in the real picture, a solution is needed to help the mobile device to perform real-time spatial positioning. There are two common solutions: [0004] 1) SLAM (Simultaneous Localization and Mapping), synchronous positioning and mapping...

AI Technical Summary

Problems solved by technology

[0011] However, although SLAM itself is a relatively complete set of spatial positioning and tracking methods, as long as the terminal device moves, it will continue to collect data. The amount of collection is large, and the computing power of the terminal device is relatively high. In the case of insufficient power, the speed and quality of mapping will be significantly affected, resulting in inaccurate positioning and tracking delay; and because Image Target is prepared to recognize images in advance, it does not need equipment for real-time mapping, real-time calculations and equipment calculations. The power requirements are much smaller, but it takes a long time to prepare and recognize images in advance, so it can only be used in fixed scenes, and the requirements for scene images are relatively high. When the scene changes, pollution, and light changes, it will affect the use.

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