Research Article

Research on the Application of Artificial Neural Network-Based Virtual Image Technology in College Tennis Teaching

Table 1

Classification of virtual imaging technology.

ClassificationContent

Virtual reality (VR)Virtual reality technology is a general term for a technical system used to establish a virtual environment for the experiencer to observe and interact with. Use 3dmax, Unity3d, and other software to model and create virtual scenes, capture and simulate human movement through hardware facilities such as Kinect and Arduino, and interact with virtual scenes; generate instructions through C language and Java programming; and form feedback.

Augmented reality (AR)Augmented reality technology will recognize and analyze images observed with the camera; classify and identify matching images, images, and other digital information in a database; and display it on the screen overlaid with the actual scene.

Holographic projection technologyHolographic imaging technology projects the image onto the actual environment or transparent medium without the audience wearing the device, creating the illusion that the image is suspended in the air. Then, interact with the image through the interactive device.

Fog curtain stereo imaging technologyFog screen stereo imaging technology uses a spray device instead of a traditional projection screen to generate an artificial water mist wall and generates a flickering fog screen projection image through an electric device to form a holographic image.

Wall projection technologyWall projection technology is mainly used for the outer panels of urban buildings. The urban exterior wall projection is mainly composed of a laser projector, a screen segmentation control matrix technology, and an exterior wall laser projection system composed of an intelligent central control system.

Interactive projection technologyInteractive projection technology is a projection system composed of projection equipment, infrared sensors, motion capture equipment, and computers. The captured data is analyzed using infrared cameras and sensors to track and identify data such as body movements and the voice of the experiencer. Combined with real-time image interaction tracking, it produces real-time interaction effects between participants and projects.