Automatic Generation Of Particle Effects In Mobilie 3D Animation System

3D animation development more rapidly,but its complex production processes affect the productivity of the animation. The academician Lu Ruqian,from Chinese Academy of Sciences, proposed a new animation production technology-the technology of the Full-Life Cycle Automatic Animation Generation in 1990 s. It combines creatively artificial intelligence technology and animation art, with the support of computer graphics, using artificial intelligence technology to achieve the creation of animation. With the popularity of smart phones, in 2008, Zhang Songmao, Chinese Academy of Sciences researcher, who proposed to apply the technology of the Full-Life Cycle Automatic Animation Generation to mobile phone text messages, and led the group members design and implement 3D Animation Auto-generation System on Mobile Phone Short Message. The system automatically generates 3D animation based on the specific content of the short message and feedback to the sender. The system is mainly composed of five parts, which are short message receiving, information extraction, qualitative planning, quantitative realization and animation rendering.In computer graphics, particle system is a method to construct fuzzy and irregular objects. Particle effect is the effect of particle system simulation of natural scene, such as wind, rain, fog, fire, etc.. The animation automatic generation system of mobile phone short message lack of performance of a common weather phenomena, this paper for the first time to achieve the Full-Life cycle automatic generation of particle effects in the system, to compensate the system unable to express weather phenomenon, and try to explore with particle effects said the characters' emotions. Particle effects automatic generation system is based on the automatic generation of mobile phone animation technology, mainly consists of two parts, qualitative planning and quantitative calculation of the particle effects.The main work of this paper includes:First, for the first time to achieve the full-life cycle automatic generation of particle effects, mainly including qualitative planning and quantitative calculation. Qualitative planning is based on message content, according to templates and themes which are gotten by information extraction, relying on the knowledge base of particle effects, through derivation rules generating description information of particle effects; the quantitative calculation module realizes the automatic addition of the particle effects in the scene, including creating particle emitting surface, calculating animation scene size and particle emission rate etc..Second, the design of the knowledge base of particle effects. The full-life cycle automatic generation of particle effects is based on knowledge achieved, so we designed the knowledge base of particle effects, which includes ontology library and rule base, which are two two different kinds of knowledge representation. Ontology library of particle effects uses Semantic Web technology to build. Particle effects mainly from two aspects to show the content of the message, on the one hand, performance of the nature phenomena which is mentioned in the text of natural phenomena; on the other hand, performance of the figures emotional, so designs the class of common nature phenomena and character's emotion,, defines object properties and data properties, creates individuals, and associate the class of particle effects with the templates and topics in ontology library of system by properties.. Further to establish the rule base of particle effects, by using Semantic Web Rule Language(SWRL), and rules can be derived from the natural phenomena and characters in text messages.Three experiments are designed to evaluate the automatic generation system of particle effects. From March 10, 2015 to January 30, 2016, a total of 1031 text messages test. And particle effects related messages 385, successfully added particle effects 326, 84.68% accounted for, to verify the feasibility of the automatic generation system of particle effects; select 50 text messages, each message run 10 times, which More than 6 kinds of particle effects have 37 messages, accounted for 74%, to verify the diversity of particle effects; from the success of adding particle effects of 326 messages randomly selected 100 text messages, in the form of questionnaire survey of animation effects are evaluated. The average score was 7.1, to verify the viewing of the animation.For the first time in 3D animation automatically generated system of mobile phone design and achieve the automatic generation of particle effects, enabling the system to achieve a common natural phenomenon, also can realize the superposition of many particle effects, and the particle effects performance figures emotional. Further work is needed to expand the existing knowledge base of particle effects, and enrich the performance of the characters.