Research And Implementation Of Immersive Virtual Scene For Wheat Visualization

The construction of virtual plants,the visualization of three-dimensional shapes of wheat and the construction of immersive virtual scenes are the research hotspots and key points in the field of virtual reality technology and agricultural informationization.Wearable virtual reality helmets reflect stable image quality,scene realism,and body-sensing interactions,which are the main factors affecting immersion.At present,the traditional virtual reality display brings limited immersion,the related content experience is not real enough,the model is not enough to simulate fine,and the three-dimensional shape visualization is not effective.The rule-based and image-based methods have higher operational complexity and the model fails to meet the simulation requirements,which cannot meet the needs of this research.In order to improve the above problems,the hand held three-dimensional scanner and the FARO Focus 3D s350 laser scanner are used to scan the three-dimensional point cloud data of wheat plants and growth scenes of different varieties and different cultivation measures,so as to improve the fineness of three-dimensional shape visualization.This paper studies and implements a method of realizing virtual reality system from model reconstruction,virtual scene construction and wearable device.The main research contents are as follows:(1)Construction of point cloud reconstruction of wheat plants.As the most basic primitive,the point can be more accurately represented by the three-dimensional information of the surface of the measured object.For the processing method of point cloud,some have the disadvantages of complicated calculation or incomplete processing In this paper,wheat plants were used as research objects,and point cloud information of single plant shape was captured by hand-held scanner,and reconstruction methods such as point cloud data preprocessing,denoising and smoothing were used to achieve higher quality reconstruction and obtain more realistic.Visualization effect.(2)Design point cloud reconstruction for the growth season scene.The FARO Focus S350 3D laser scanner can acquire the target point cloud data in a large area and in a high density in a short time.There is a deviation from the data,and there is no point cloud registration processing,which will have an adverse effect on post processing.Therefore,it is necessary to reduce the erroneous data through point cloud splicing and select the appropriate point cloud data modeling.The whole process of data acquisition,data processing,data modeling and post-rendering output was realized.Finally,a three-dimensional model of wheat growth scene was constructed by taking the agricultural technology extension regional station of Changge County,Henan Province as an example.(3)Immersive virtual scene based on HTC vive device.In this paper,from the aspects of wheat growth scene immersion experience,wheat plant display means,virtual scene immersion experience,etc.,VR roaming and related equipment use HTC VR equipment,VR camera is developed by steam SDK.Combined with the latest natural human-computer interaction technology,HTC vive helmet and handle are used to collect human body data and scene motion data,drive virtual roaming action,realize the use of somatosensory feature recognition to manipulate human motion behavior,and complete interactive functions.The construction of virtual scenes as an auxiliary enhancement measure provides a high sense of immersion and realism for the display of system VR content.(4)Design and realize the three-dimensional shape visualization of wheat based on Unity 3D.Through the call to the HTC vive method in the Unity 3D system,the Unity 3D engine is used for function development to realize VR scene loading,IoT data reading,and VR rendering technology optimization.This paper aims to establish a model database by modeling high-throughput and high-accuracy point cloud data of wheat,which provides a basis for the study of plant phenotypes.Using wearable virtual reality helmets to present extremely high image quality,scene fidelity and body-aware interactions,as well as interactive triggering of IoT weather data,users can learn and understand wheat cultivation knowledge through new devices,and improve knowledge.Spread and promote efficiency.