An Efficient System for Multi-perspective Imaging and Volumetric Shape Analysis
Eugene Borovikov, Alan Sussman, Larry Steven Davis · 2001
We present a high performance system for efficient multiperspective image analysis on very large image datasets, implemented as a customized extension of the Active Data Repository (ADR) object-oriented framework. The resulting system provides a flexible framework for handling multiperspective video sequences in any parallel or distributed computing environment that can support ADR. We have employed the framework to produce an efficient volumetric shape analysis application implementation. Initial performance results show that using an effective data distribution algorithm to produce good load balancing allows the ADR implementation to achieve scalable high performance.