Construction of an Interactive Platform for Piano Teaching in Virtual Reality Environment DOI Creative Commons
Lei Xu

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract Under the impact of wave new technology, form piano teaching is no longer limited to classroom and paper textbooks, modern information such as Internet virtual reality, constantly integrated into traditional teaching. This utilizes Unity3D engine create a reality environment for interaction, based on VR construct an interactive platform Firstly, binocular stereo vision three-dimensional reconstruction scene, improvement LeNet5 network user’s head gesture tracking, constructed scene realizes real-time movement with human head. The test set images using CPU-i76700HQ GTX960 graphics cards consume 78ms 25ms per frame, respectively, which meets system requirements. In this paper, improved algorithm pose estimation without face detection applicable has high accuracy 99.31%, better than algorithms Adaboost+Hough, LBF+BP, CNN+Heatmaps, DCNN, FSA-Net, able satisfy requirements scene. average rating more 4 in attractiveness, subjectivity, interactivity, convenience, but running speed only 3.46, so it necessary strengthen technical support improve software hardware level break through development bottleneck. Traditional given vitality kinetic energy by environment.

Язык: Английский

基于线激光的轨道门异形曲面点云数据三维重建 DOI

刘泽琳 Liu Zelin,

汤嘉兴 Tang Jiaxing,

陈圣怡 Chen Shengyi

и другие.

Laser & Optoelectronics Progress, Год журнала: 2025, Номер 62(8), С. 0815004 - 0815004

Опубликована: Янв. 1, 2025

Процитировано

0

Virtual binocular stereo vision measurement method without phase unwrapping DOI
Yanjun Fu,

Boyang Liu,

Kejun Zhong

и другие.

Optics Communications, Год журнала: 2025, Номер unknown, С. 131869 - 131869

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Binocular stereo vision-based analysis of skid resistance in asphalt mixtures: A study of AC-13, SMA-13, and OGFC-13 DOI

Yuhong Luo,

Peng Guo, Chenguang Shi

и другие.

Construction and Building Materials, Год журнала: 2025, Номер 481, С. 141522 - 141522

Опубликована: Май 2, 2025

Язык: Английский

Процитировано

0

Unsupervised pavement rutting detection using structured light and area-based deep learning DOI
Yishun Li, Lunpeng Li, Shengchuan Jiang

и другие.

Automation in Construction, Год журнала: 2025, Номер 176, С. 106235 - 106235

Опубликована: Май 12, 2025

Язык: Английский

Процитировано

0

A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning DOI Creative Commons

Yashar Safyari,

Masoud Mahdianpari, Hodjat Shiri

и другие.

Sensors, Год журнала: 2024, Номер 24(17), С. 5652 - 5652

Опубликована: Авг. 30, 2024

Potholes and other road surface damages pose significant risks to vehicles traffic safety. The current methods of in situ visual inspection for potholes or cracks are inefficient, costly, hazardous. Therefore, there is a pressing need develop automated systems assessing conditions, aiming efficiently accurately reconstruct, recognize, locate potholes. In recent years, various utilizing (a) computer vision, (b) three-dimensional (3D) point clouds, (c) smartphone data have been employed map quality conditions. Machine learning deep techniques increasingly enhanced the performance these methods. This review aims provide comprehensive overview cutting-edge vision machine algorithms pothole detection. It covers topics such as sensing acquiring two-dimensional (2D) 3D data, classical based on 2D image processing, segmentation-based using cloud modeling, learning, algorithms, hybrid approaches. highlights that combining traditional processing advanced offer highest accuracy approaches, particularly demonstrate superior adaptability detection rates, while valuable baseline techniques. By reviewing evaluating existing vision-based methods, this paper clarifies landscape technologies identifies opportunities future research development. Additionally, insights provided by can inform design implementation more robust effective condition assessment, thereby contributing roadway safety infrastructure management.

Язык: Английский

Процитировано

1

Construction of an Interactive Platform for Piano Teaching in Virtual Reality Environment DOI Creative Commons
Lei Xu

Applied Mathematics and Nonlinear Sciences, Год журнала: 2024, Номер 9(1)

Опубликована: Янв. 1, 2024

Abstract Under the impact of wave new technology, form piano teaching is no longer limited to classroom and paper textbooks, modern information such as Internet virtual reality, constantly integrated into traditional teaching. This utilizes Unity3D engine create a reality environment for interaction, based on VR construct an interactive platform Firstly, binocular stereo vision three-dimensional reconstruction scene, improvement LeNet5 network user’s head gesture tracking, constructed scene realizes real-time movement with human head. The test set images using CPU-i76700HQ GTX960 graphics cards consume 78ms 25ms per frame, respectively, which meets system requirements. In this paper, improved algorithm pose estimation without face detection applicable has high accuracy 99.31%, better than algorithms Adaboost+Hough, LBF+BP, CNN+Heatmaps, DCNN, FSA-Net, able satisfy requirements scene. average rating more 4 in attractiveness, subjectivity, interactivity, convenience, but running speed only 3.46, so it necessary strengthen technical support improve software hardware level break through development bottleneck. Traditional given vitality kinetic energy by environment.

Язык: Английский

Процитировано

0