An Efficient System for Multi-perspective Imaging and Volumetric Shape Analysis
作者： Alan Sussman , Larry Davis , Eugene Borovikov
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摘要: We present a high performance system for efficient multiperspective image analysis on very large datasets, implemented as customized extension of the Active Data Repository (ADR) object-oriented framework. The resulting provides flexible framework handling video sequences in any parallel or distributed computing environment that can support ADR. have employed to produce an volumetric shape application implementation. Initial results show using effective data distribution algorithm good load balancing allows ADR implementation achieve scalable performance.
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