Abstract
In this work we present an algorithm to automatically generate eye-believable animations for virtual human-like characters evolving in cluttered environments. The algorithm has two components: (1) a motion planner for a simplified model of the character that produces admissible paths for this model and (2) a motion generator based on captured sequences to transform the planned path into a trajectory that can be followed by the complete model of the character. This second component uses a motion capture database and a classifier to choose which motions in the database are the most appropriate to follow the computed path. We give examples of successful plans generated with our method.
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Arenas Mena, J.C., Hayet, JB., Esteves, C. (2010). An Algorithm for the Automatic Generation of Human-Like Motions Based on Examples. In: Sidorov, G., Hernández Aguirre, A., Reyes García, C.A. (eds) Advances in Artificial Intelligence. MICAI 2010. Lecture Notes in Computer Science(), vol 6437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16761-4_13
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DOI: https://doi.org/10.1007/978-3-642-16761-4_13
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