Implementation of NURBS surface based on particle swarm optimization BP neural network.
Abstract:
In order to further improve the accuracy and speed of the present commonly used NURBS surface method, an improved method for NURBS surface based on particle swarm optimiz...Show MoreMetadata
Abstract:
In order to further improve the accuracy and speed of the present commonly used NURBS surface method, an improved method for NURBS surface based on particle swarm optimization BP neural network is proposed. Firstly, node vectors of the data points are calculated by using the parametrization method of accumulating chord length. Then, prediction model of node vectors is constructed by using the particle swarm optimization BP neural network, and the experiment is presented to justify the feasibility and veracity of constructed prediction model. Finally, using the predicted node vectors, a fast and high-precision NURBS surface is realized. The results showed that the root mean squared error of fitting result of surface was deduced 84.05% and the run time was deduced 92.42% compared with the traditional NURBS method. Therefore, the proposed method is a fast and high-precise NURBS surface fitting method.
Implementation of NURBS surface based on particle swarm optimization BP neural network.
Published in: IEEE Access ( Volume: 8)
Funding Agency:
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
Xiaoqiang Tian received the B.S. degree in measurement and control technology and instrumentation program from the Liren College, Yanshan University, China, in 2013, and the M.S. degree in instrument and meter engineering from the Kunming University of Science and Technology, China, in 2016, where he is currently pursuing the Ph.D. degree with the College of Computer Science and Engineering. His current research interest ...Show More
Xiaoqiang Tian received the B.S. degree in measurement and control technology and instrumentation program from the Liren College, Yanshan University, China, in 2013, and the M.S. degree in instrument and meter engineering from the Kunming University of Science and Technology, China, in 2016, where he is currently pursuing the Ph.D. degree with the College of Computer Science and Engineering. His current research interest ...View more
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
Lingfu Kong received the Ph.D. degree in computer science and technology from the Harbin Institute of Technology University, China, in 1995. He is currently a Professor and a Ph.D. Supervisor with the College of Computer Science and Engineering. His main research interests include robot, computer vision, intelligent information processing, and cloud computing.
Lingfu Kong received the Ph.D. degree in computer science and technology from the Harbin Institute of Technology University, China, in 1995. He is currently a Professor and a Ph.D. Supervisor with the College of Computer Science and Engineering. His main research interests include robot, computer vision, intelligent information processing, and cloud computing.View more
School of Electrical Engineering, Yanshan University, Qinhuangdao, China
Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium
Deming Kong received the B.S. degree in electronic and communication engineering and the M.S. degree in communication and information system from Yanshan University, China, in 2006 and 2010, respectively, and the Ph.D. degree in measurement technology and instruments from Beihang University, China, in 2015. From 2018 to 2019, he was a Visiting Scholar with Ghent University. He is currently an Associate Professor with the ...Show More
Deming Kong received the B.S. degree in electronic and communication engineering and the M.S. degree in communication and information system from Yanshan University, China, in 2006 and 2010, respectively, and the Ph.D. degree in measurement technology and instruments from Beihang University, China, in 2015. From 2018 to 2019, he was a Visiting Scholar with Ghent University. He is currently an Associate Professor with the ...View more
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
Li Yuan received the master’s degree in educational technology from Nanjing Normal University, in 2011. She is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Yanshan University. Her current research interest includes intelligent information processing.
Li Yuan received the master’s degree in educational technology from Nanjing Normal University, in 2011. She is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Yanshan University. Her current research interest includes intelligent information processing.View more
School of Information Engineering, Hebei University of Environmental Engineering, Qinhuangdao, China
Dehan Kong received the Ph.D. degree in computer science and technology from Yanshan University, China, in 2017. His current research interests include spatial database, points cloud, and pattern recognition.
Dehan Kong received the Ph.D. degree in computer science and technology from Yanshan University, China, in 2017. His current research interests include spatial database, points cloud, and pattern recognition.View more
Contents School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
Xiaoqiang Tian received the B.S. degree in measurement and control technology and instrumentation program from the Liren College, Yanshan University, China, in 2013, and the M.S. degree in instrument and meter engineering from the Kunming University of Science and Technology, China, in 2016, where he is currently pursuing the Ph.D. degree with the College of Computer Science and Engineering. His current research interest includes high-precision 3D shape detection technology.
Xiaoqiang Tian received the B.S. degree in measurement and control technology and instrumentation program from the Liren College, Yanshan University, China, in 2013, and the M.S. degree in instrument and meter engineering from the Kunming University of Science and Technology, China, in 2016, where he is currently pursuing the Ph.D. degree with the College of Computer Science and Engineering. His current research interest includes high-precision 3D shape detection technology.View more
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
Lingfu Kong received the Ph.D. degree in computer science and technology from the Harbin Institute of Technology University, China, in 1995. He is currently a Professor and a Ph.D. Supervisor with the College of Computer Science and Engineering. His main research interests include robot, computer vision, intelligent information processing, and cloud computing.
Lingfu Kong received the Ph.D. degree in computer science and technology from the Harbin Institute of Technology University, China, in 1995. He is currently a Professor and a Ph.D. Supervisor with the College of Computer Science and Engineering. His main research interests include robot, computer vision, intelligent information processing, and cloud computing.View more
School of Electrical Engineering, Yanshan University, Qinhuangdao, China
Department of Telecommunications and Information Processing, Ghent University, Ghent, Belgium
Deming Kong received the B.S. degree in electronic and communication engineering and the M.S. degree in communication and information system from Yanshan University, China, in 2006 and 2010, respectively, and the Ph.D. degree in measurement technology and instruments from Beihang University, China, in 2015. From 2018 to 2019, he was a Visiting Scholar with Ghent University. He is currently an Associate Professor with the College of Electrical Engineering. His main research interest includes high-precision 3D shape detection technology.
Deming Kong received the B.S. degree in electronic and communication engineering and the M.S. degree in communication and information system from Yanshan University, China, in 2006 and 2010, respectively, and the Ph.D. degree in measurement technology and instruments from Beihang University, China, in 2015. From 2018 to 2019, he was a Visiting Scholar with Ghent University. He is currently an Associate Professor with the College of Electrical Engineering. His main research interest includes high-precision 3D shape detection technology.View more
School of Information Science and Engineering, Yanshan University, Qinhuangdao, China
Li Yuan received the master’s degree in educational technology from Nanjing Normal University, in 2011. She is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Yanshan University. Her current research interest includes intelligent information processing.
Li Yuan received the master’s degree in educational technology from Nanjing Normal University, in 2011. She is currently pursuing the Ph.D. degree with the School of Computer Science and Engineering, Yanshan University. Her current research interest includes intelligent information processing.View more
School of Information Engineering, Hebei University of Environmental Engineering, Qinhuangdao, China
Dehan Kong received the Ph.D. degree in computer science and technology from Yanshan University, China, in 2017. His current research interests include spatial database, points cloud, and pattern recognition.
Dehan Kong received the Ph.D. degree in computer science and technology from Yanshan University, China, in 2017. His current research interests include spatial database, points cloud, and pattern recognition.View more