The chapter presents a method for automatic enhancement of computer character animation utilizing fuzzy inference. First the user designs a prototype version of animation, with keyframes only for important poses, roughly describing the action. Then animation is enriched with new motion phases calculated by the fuzzy inference system using descriptors given by the user. Various degrees of motion fluency and naturalness are possible to achieve. The proposed algorithm of the animation enrichment based on fuzzy description is thoroughly presented. Animation parameterization is presented, new parameters are designed, and the relation between the coefficients proposed and subjective features of motion are established. The first part of the processing consists in creating fuzzy rules for the algorithm based on results of subjective evaluation of the animated movement. The second one utilizes input descriptors for new motion phase calculation, which are finally added to the animation. Quality and fluidity increase of the obtained animation are verified by subjective evaluation. Efficiency of the algorithm proposed is discussed and creation of the animation with the system engineered is compared with animation prepared by utilizing typical computer animation methods.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-642-13396-1_5
- Category
- Publikacja monograficzna
- Type
- rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
- Language
- angielski
- Publication year
- 2010
