A fuzzy logic inference system was created, based on the analysis of animated motion features. The objective of the system is to facilitate the creation of high quality animation by analyzing personalized styles contained in numerous animations. Sequences portraying a virtual character acting with a differentiating personalized style (natural or exaggerated) and various levels of fluidity were prepared and subjectively evaluated. Knowledge gathered in subjective evaluation tests was processed utilizing variable precision rough set (VPRS) approach for defining non-ambiguous inverse relation between subjective features of the result animation and objective parameters of the animated motion. Once the mapping is known then the user can define own requirements on animation, and the input motion is processed accordingly to produce the desired result. The paper focuses on employing variable precision rough set methodology for selection of representative parameter values.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-642-13529-3_11
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2010
