Motion capture for the rest of us
Journal of Computing Sciences in Colleges
Automated extraction and parameterization of motions in large data sets
ACM SIGGRAPH 2004 Papers
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Optimization of the magnetic anomaly signals from a new land mine detection device
ACA'12 Proceedings of the 11th international conference on Applications of Electrical and Computer Engineering
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Over recent years, the fall in cost, and increased availability of motion capture equipment has led to an increase in non-specialist companies being able to use motion capture data to guide animation sequences for computer games and other applications. [1] A bottleneck in the animation production process is in the clean-up of capture sessions to remove and/or correct anomalous (unusable) frames and noise. In this paper an investigation is carried out into whether the 2-layer SOM network previously designed [5] and trained on one capture session, can be used to create a neural classifier to be used to classify another separate capture session.