Abstract
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.
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Szczuko, P. (2010). Computer Animation System Based on Rough Sets and Fuzzy Logic. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds) Rough Sets and Current Trends in Computing. RSCTC 2010. Lecture Notes in Computer Science(), vol 6086. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13529-3_11
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DOI: https://doi.org/10.1007/978-3-642-13529-3_11
Publisher Name: Springer, Berlin, Heidelberg
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