| Musical water landscape combines garden design with audio-visual art and is loved by the masses.More and more urban planning or tourist attractions use music and water landscape as a symbolic form of garden art.Therefore,more and more researchers pay attention to the field of visual simulation.At present,the performance control of domestic music water landscape generally adopts manual offline pre-programming.It is necessary to first perceive the high-level characteristics of music style and emotion with the help of human subject consciousness,and then arrange the corresponding landscape performance.This kind of design has a high cost,resulting in a low utilization rate of the landscape,and is not conducive to the expansion of the music library.In the modern landscape design industry,computer-aided software has been added,but its function is still limited to static modeling of general scenery,and it is not well qualified for the design tasks of complex landscapes such as music and water landscape.This thesis uses OpenGL and 3Dmax to design and implement a music water landscape display system,and based on this system,the extraction and analysis of music features are carried out,and the system control of music water landscape is studied.The main work of this thesis is as follows:(1)The particle system technology,based on OpenGL,is used to realize the dynamic simulation of the weather and the fountain inside the landscape,and the drawing scheme is improved from the two aspects of modeling and rendering.For the fountain,combined with the physical model,a variety of water-type actions are designed for a single nozzle,and a parameter interface for controlling water-type changes is reserved.(2)3DMax is used to statically model the background elements of the water landscape scene for static modeling,taking some framing elements as an example,the drawing process from rough model to fine model is explained.In addition,this thesis configures an autonomous roaming function for the system to improve system interactivity.(3)Improve the extraction and analysis of audio signal features: This thesis proposes a music style recognition method based on CRNN and residual network.Compared with the existing methods,this method has a higher accuracy rate of style recognition;this thesis uses the DP algorithm to segment the pitch sequence of the music to reduce information redundancy and improve the calculation speed of the system.(4)Based on the above work,this thesis uses the style and pitch sequence of the music as the control signal to design the corresponding control strategy,so that the music water landscape system can automatically arrange the landscape performance according to the music characteristics,realize the intelligent control of the music water landscape,and improve the music water.Landscape utilization rate.The music water landscape system designed in this thesis realizes the features of music feature extraction,diversified landscape performances,and intelligent choreography and drainage performances.In addition,the system improves the rendering effect of the landscape and reserves a parameter interface to facilitate the expansion and maintenance of system functions.This system provides a technical reference for dynamic landscape simulation,and will have broad application prospects in landscape design. |