A high performance multi-perspective vision studio

Authors:
Eugene Borovikov;Alan Sussman
Affiliations:
University of Maryland, College Park, MD;University of Maryland, College Park, MD
Venue:
ICS '03 Proceedings of the 17th annual international conference on Supercomputing
Year:
2003

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Abstract

We describe a multi-perspective vision studio as a flexible high performance framework for solving complex image processing and machine vision problems on multi-view image sequences. The studio abstracts multi-view image data from image sequence acquisition facilities, stores and catalogs sequences in a high performance distributed database, allows customization of back-end processing services, and can serve custom client applications, thus helping make multi-view video sequence processing efficient and generic. To illustrate our approach, we describe two multi-perspective studio applications, and discuss performance and scalability results.