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Intro
ICCVR-2023 Conference Committee
Preface
Acknowledgements
About This Book
Contents
About the Editors
Part I Pattern Recognition and Robotic Vision
1 Design of Piano Automatic Accompaniment System Based on Markov Model
1.1 Introduction
1.2 Methodology
1.2.1 Related Theory of Algorithmic Composition
1.2.2 Automatic Piano Accompaniment System Based on HMM
1.3 Result Analysis and Discussion
1.4 Conclusions
References
2 3D Visual Design of Music Based on Multi-audio Features
2.1 Introduction
2.2 Methodology

2.2.1 Audio Visualization Method
2.2.2 Multi-audio Feature Extraction of Music
2.3 Result Analysis and Discussion
2.4 Conclusions
References
3 Construction of Humming Music Retrieval Model Based on Particle Swarm Optimization
3.1 Introduction
3.2 Related Music Knowledge in Humming Music Retrieval
3.2.1 Elements of Sound
3.2.2 The Relationship and Difference Between Voice Signals and Humming Music Signals
3.3 Constructing a Humming Music Retrieval Model
3.3.1 Basic Framework
3.3.2 Model Application
3.4 Conclusions
References

4 Research on Audio Processing Method Based on 3D Technology
4.1 Introduction
4.2 Audio Processing Method Based on 3D Technology
4.3 Result Analysis and Discussion
4.4 Conclusions
References
5 Design and Optimization of Point Cloud Registration Algorithm Based on Stereo Vision and Feature Matching
5.1 Introduction
5.2 Research Method
5.2.1 Stereo Vision Model
5.2.2 Feature Matching Based on Stereo Vision
5.3 Experiment and Analysis
5.4 Conclusion
References

6 Design of 3D Point Cloud Real-Time Cloud Matching Algorithm Based on Multi-scale Feature Extraction
6.1 Introduction
6.2 Research Method
6.2.1 Multiscale Feature Extraction
6.2.2 Real-Time Cloud Matching Acceleration of 3D Point Cloud
6.3 Experimental Analysis
6.4 Conclusion
References
7 Design of Digital Music Copyright Protection System Based on Blockchain Technology
7.1 Introduction
7.2 Research Method
7.2.1 System Overall Design
7.2.2 Key Technology Realization
7.3 Result Analysis
7.4 Conclusion
References

8 Personalized Music Recommendation Model Based on Collaborative Filtering Algorithm and K-Means Clustering
8.1 Introduction
8.2 Collaborative Filtering Algorithm
8.3 Design of Personalized Music Recommendation Model
8.4 Implementation of a Personalized Music Recommendation Model
8.4.1 Personalized Music Model Recommendation Process
8.4.2 Result Analysis
8.5 Conclusions
References
9 Simulation of Fuzzy Calculation Model of Music Emotion Based on Improved Genetic Algorithm
9.1 Introduction
9.2 Simulation Research on Fuzzy Computing Model of Music Emotion

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