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Research On Key Techniques Of Implementation For Augmented Reality Teaching Resources

Posted on:2019-10-29Degree:MasterType:Thesis
Country:ChinaCandidate:N ZhangFull Text:PDF
GTID:2417330548468222Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
At present,the main learning methods of learners are focused on listening in class and supplemented by learning materials after class,and the teaching resources are single.As an emerging technology,the application of Augmented Reality in the field of education has brought new experiences to learners.This technique enriches learners' learning styles and enhances learners' interest in learning and hands-on skills,and it enables learners who are short of the sense of space and imagination to experience immersive experience with superimposed learning resources.However,due to the effect of Augmented Reality,it can't meet the needs of learners to obtain virtual learning resources in real time and accurately,which makes augmented reality teaching resources not widely used.Therefore,how to improve the performance of key algorithms in the realization of augmented reality teaching resources is of great significance to the popularization of AR teaching resources.For this reason,this paper studies the key technologies for the implementation of augmented reality teaching resources,it designs and implements some teaching resources based on Augmented Reality.Firstly,this paper designs the algorithm which can implement augmented reality teaching resource and analyzes the key technologies.Secondly,it researches and simulates the traditional image matching algorithm.For single target object recognition,it proposes a target matching algorithm which combined the SURF-based plant feature point with the improved ORB plant feature description.Thirdly,this paper combines deep learning algorithm to match the images,which aims at multi?object recognition scenes.It carries out analysis and simulations which based on CNN target detection algorithm of the mainstream.Besides,by using the feature extraction capabilities of convolutional neural networks,the YOLOv3 plant detection model was trained and tested with plant images.Finally,this paper develops a teaching resource based on augmented reality under the Android studio.The system implements key functions such as the collection and display of teaching resources,three-dimensional registration,superposition virtual teaching resources with real scene and human-machine interaction,which can satisfy learners' learning needs in many ways.The prototype system of augmented reality teaching resource has been completed.After preliminary tests,the various functional modules of the system have been implemented,the real-time and robustness of the algorithm has reached a predetermined goal.This system can provide learners with a kind of learning resources that overlays virtual and realistic,which improves learners' interest in learning.
Keywords/Search Tags:Augmented Reality, teaching resources, 3D registration, convolutional neural network, model of plant detection
PDF Full Text Request
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