(Enter summary)
Abstract: 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.... (Update)
Context of citations to this paper: More
...rise to multi perspective vision systems. These are systems with multiple cameras usually spread throughout the perimeter of a room [14, 27]. The cameras shoot a scene over a period of time (a sequence of frames) from multiple perspectives and post processing algorithms are...
...rise to multi perspective vision systems. These are systems with multiple cameras usually spread throughout the perimeter of a room [16, 32]. The cameras shoot a scene over a period of time (a sequence of frames) from multiple perspectives and post processing algorithms are...
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BibTeX entry: (Update)
E. Borovikov, A. Sussman, and L. Davis. An efficient system for multi-perspective imaging and volumetric shape analysis. In Proceedings of the http://citeseer.ist.psu.edu/borovikov01efficient.html More
@misc{ borovikov-efficient,
author = "E. Borovikov and A. Sussman and L. Davis",
title = "An efficient system for multi-perspective imaging and volumetric shape
analysis",
text = "E. Borovikov, A. Sussman, and L. Davis. An efficient system for multi-perspective
imaging and volumetric shape analysis. In Proceedings of the",
url = "citeseer.ist.psu.edu/borovikov01efficient.html" }
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Digital dynamic telepathology - the Virtual Microscope
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Infrastructure for building parallel database systems for mu..
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Querying very large multi-dimensional datasets in ADR
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The design and evaluation of a high-performance earth scienc..
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Multi-perspective analysis of human action (context) - Davis, Borovikov et al. - 1999
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Optimizing retrieval and processing of multi-dimensional sci..
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Exploration and visualization of very large datasets with th..
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