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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9200

Title: A Scalable End-to-End Optimized Real-Time Image-Based Rendering Framework on Graphics Hardware
Authors: ROGMANS, Sammy
JIANGBO, Lu
LAFRUIT, Gauthier
Issue Date: 2008
Publisher: IEEE Computer Society
Citation: Proceedings of the The True Vision Capture, Transmission and Display of 3D Video (3DTV-CON 2008). p. 129-132.
Abstract: This paper presents the system-level overview of a real-time image-based rendering framework performing multiple intermediate view synthesis, completely on the Graphics Processing Unit (GPU). The software design achieves high-performance, yet maintains flexibility and ease of development through a hierarchical layered architecture. The framework implements the intermediate view synthesis by a chain of consecutive processing modules, as an extension to the Middlebury open software structure, allowing it to benchmark quality and execution time of individual modules for end-to-end system performance optimization. The modules can be flexibly coordinated, enabling scalability to run the multiple view synthesis in real-time on both powerful and weak GPUs.
URI: http://hdl.handle.net/1942/9200
ISI #: 000258372100028
ISBN: 978-1-4244-1760-5
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2010
Appears in Collections: Research publications

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