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ROBUST OBJECT RECOGNITION BY DYNAMIC MODELING IN AUGMENTED REALITY
ROBUST OBJECT RECOGNITION BY DYNAMIC MODELING IN AUGMENTED REALITY
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机译:增强现实中动态建模的鲁棒对象识别
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摘要
Technologies are generally described for providing a robust object recognition scheme based on dynamic modeling. Correlations in fine scale temporal structure of cellular regions may be employed to group the regions together into higher-order entities. The entities represent a rich structure and may be used to code high level objects. Object recognition may be formatted as elastic graph matching.
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