Three-dimensional mandibular motion trajectory-tracking system based on BP neural network

Autor: Linlin Li, Yu Chun Sun, Wei Wei Li, Su Kun Tian, Ning Dai, Xiao Sheng Cheng
Rok vydání: 2020
Předmět:
bp neural network
Computer science
Movement
02 engineering and technology
Mandible
mandible movement
motion capture system
Motion capture
Compensation (engineering)
Imaging
Three-Dimensional
0502 economics and business
QA1-939
0202 electrical engineering
electronic engineering
information engineering
Calibration
Humans
Computer vision
3d compensation method
Artificial neural network
business.industry
Applied Mathematics
05 social sciences
Process (computing)
Reproducibility of Results
Tracking system
General Medicine
binocular stereo vision
Computational Mathematics
Modeling and Simulation
Trajectory
020201 artificial intelligence & image processing
Artificial intelligence
Neural Networks
Computer
General Agricultural and Biological Sciences
business
TP248.13-248.65
Mathematics
050203 business & management
Biotechnology
Camera resectioning
Zdroj: Mathematical Biosciences and Engineering, Vol 17, Iss 5, Pp 5709-5726 (2020)
ISSN: 1551-0018
Popis: The aim of this study was to develop a prototype three-dimensional optical motion capture system based on binocular stereo vision, Back-propagation (BP) Neural Network and 3D compen-sation method for accurate and real-time recording of mandibular movement. A specialized 3D method of compensation to eliminate the involuntary vibration motions by human heart beating and respiration. A kind of binocular visual 3D measurement method based on projection line and a calibration method based on BP neural network is proposed to solve the problem of the high complexity of camera calibration process and the low accuracy of 3D measurement. The accuracy of the proposed system is systematically evaluated by means of electric platform and clinical trials, and the root-mean-square is 0.0773 mm. Finally, comparisons with state-of-the-art methods demonstrate that our system has higher reliability and accuracy. Meanwhile, the motion trajectory-tracking system is expected to be used in the diagnosis of clinical oral diseases and digital design of restoration.
Databáze: OpenAIRE
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