Research on role modeling and behavior control of virtual reality animation interactive system in Internet of Things
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SPECIAL ISSUE PAPER
Research on role modeling and behavior control of virtual reality animation interactive system in Internet of Things Baiqiang Gan1 · Chi Zhang2 · Yunqiang Chen3 · Yeh‑Cheng Chen4 Received: 14 June 2020 / Accepted: 30 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract To solve the problems of poor real-time collision accuracy and low efficiency of modeling in the virtual reality environment, we propounded a depth image-based 3D modeling system and a hybrid intelligent collision detection algorithm. With the development of the 3D animation interactive system as an example, this paper uses 3D modeling technology based on depth images to build single role models, then reorganizes and merges the models to form 3D scenes. The hybrid intelligent collision detection algorithm, which combines the quantum behavior particle swarm optimization algorithm and the differential algorithm, improves the collision detection efficiency and accuracy and realizes behavior control of the characters in the interactive system. The experimental result shows that the 3D modeling technology based on depth images has greatly improved the accuracy and quantity of model texture and motion rate. By comparing the hybrid intelligent collision detection algorithm, the QPSO algorithm, and the FDH bounding box for collision detection, we conclude that the algorithm used in this paper has a shorter average collision time, more stable role behavior control, and better robustness. Keywords IoT · Real-time image · Behavior control · Collision detection · Hierarchical bounding box · Hybrid intelligent collision detection algorithm
1 Introduction In recent years, the Internet of Things technology has been applied in the fields of agriculture, logistics, vehicle networks, intelligent fire, virtual simulation, etc., making the integration of the Internet of Things, virtual reality, and artificial intelligence technologies more and more close. The Internet of Things technology collects targets in realtime through sensors, radio frequency identification technology, global positioning system, and other devices, and realizes links between objects and objects, objects and people, people and people through network access to realize * Baiqiang Gan [email protected] 1
Department of Information Engineering, Guangzhou Nanyang Polytechnic, Conghua 510900, China
2
Nanfang College of Sun Yat-sen University, Conghua 510920, China
3
Department of Computer Engineering, Dongguan Polytechnic, Dongguan 523808, China
4
Department of Computer Science, University of California, Davis, Davis, CA, USA
the intelligent perception, recognition, and management of targets. Through the virtual simulation environment built on the computer, visual, auditory, kinesthetic, and other senses of the user are stimulated so that they can experience real-world situations in the virtual 3D environment [1–4]. The Internet of Things technology can process data quickly and safely to ensure the real-time performance of the data, w
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