ROBUST OBJECT RECOGNITION BY DYNAMIC MODELING IN AUGMENTED REALITY

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.