Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764181
Title: Simulating interactions among multiple characters
Author: Shum, Pak Ho
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2010
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Abstract:
In this thesis, we attack a challenging problem in the field of character animation: synthesizing interactions among multiple virtual characters in real-time. Although there are heavy demands in the gaming and animation industries, no systemic solution has been proposed due to the difficulties to model the complex behaviors of the characters. We represent the continuous interactions among characters as a discrete Markov Decision Process, and design a general objective function to evaluate the immediate rewards of launching an action. By applying game theory such as tree expansion and min-max search, the optimal actions that benefit the character the most in the future are selected. The simulated characters can interact competitively while achieving the requests from animators cooperatively. Since the interactions between two characters depend on a lot of criteria, it is difficult to exhaustively precompute the optimal actions for all variations of these criteria. We design an off-policy approach that samples and precomputes only meaningful interactions. With the precomputed policy, the optimal movements under different situations can be evaluated in real-time. To simulate the interactions for a large number of characters with minimal computational overhead, we propose a method to precompute short durations of interactions between two characters as connectable patches. The patches are concatenated spatially to generate interactions with multiple characters, and temporally to generate longer interactions. Based on the optional instructions given by the animators, our system automatically applies concatenations to create a huge scene of interacting crowd. We demonstrate our system by creating scenes with high quality interactions. On one hand, our algorithm can automatically generate artistic scenes of interactions such as the fighting scenes in movies that involve hundreds of characters. On the other hand, it can create controllable, intelligent characters that interact with the opponents for real-time applications such as 3D computer games.
Supervisor: Komura, Taku Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.764181  DOI: Not available
Keywords: animation ; continuous interactions ; Markov Decision Process ; game theory ; min-max search ; precompute ; connectable patches
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