Real-time processing pipeline for 3D imaging applications

Most processing tasks in three-dimensional (3D) applications share common ground in terms of algorithm design and implementation. Furthermore, time consuming tasks like 3D reconstruction of objects from generic multiview images and compression of massive amounts of 3D image data, require enormous da...

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Bibliographic Details
Main Authors: Chaikalis, D.P., Sgouros, N.P., Maroulis, D.E.
Format: Conference Proceeding
Language:English
Subjects:
3D object reconstruction
Algorithm design and analysis
compression
Computer architecture
Data processing
Delay
Hardware
hardware implementation
Image coding
Image reconstruction
Integral Imaging
Pipeline processing
Process design
real-time
system
Throughput
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Description
Summary:Most processing tasks in three-dimensional (3D) applications share common ground in terms of algorithm design and implementation. Furthermore, time consuming tasks like 3D reconstruction of objects from generic multiview images and compression of massive amounts of 3D image data, require enormous data processing power, and in many cases computations should be performed in real-time. In this paper we present a hardware architecture that jointly addresses both tasks. The proposed design features processing elements and memory modules that form a common compression and reconstruction datapath. Extensive pipelining minimizes throughput delays and memory access operations. Our implementation achieves real-time performance for both tasks, efficiently addressing demanding 3D imaging and video applications.
ISSN:1546-1874
2165-3577
DOI:10.1109/ICDSP.2009.5201194