Title :
What is next in real-time computer vision? An overview of tightly-coupled non-homogeneous multiprocessor architectures
Author :
Dollas, Apostolos
Author_Institution :
Dept. of Electr. Eng., Duke Univ., Durham, NC, USA
Abstract :
The problem of limitations of computer-vision systems caused by the power of computational platforms is addressed by using nonhomogeneous multiprocessors in a tightly-coupled organization. The general form of the architecture is defined as the computational resource graph being homomorphic to the computational task graph. Pragmatic issues such as the skewing of time have to be explicitly addressed and modeled in actual system design. An example of a three-chip set for real-time line buffering, convolution, and image normalization, is presented; this set encompasses modularity of the control structure in addition to modularity in the processing structure. Due to distributed control, a variety of operations can be performed without the need of glue logic for the interface of the chips
Keywords :
computer architecture; computer vision; distributed control; multiprocessing systems; real-time systems; computational platforms; computational resource graph; computational task graph; control structure modularity; convolution; distributed control; homomorphism; image normalization; processing structure modularity; real-time computer vision; real-time line buffering; three-chip set; tightly coupled nonhomogeneous multiprocessor architectures; time skewing; Computer architecture; Computer vision; Distributed control; Image processing; Integrated circuit interconnections; Machine vision; Network topology; Pattern recognition; Power engineering computing; Systolic arrays;
Conference_Titel :
Languages for Automation: Symbiotic and Intelligent Robots, 1988., IEEE Workshop on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-0890-0
DOI :
10.1109/LFA.1988.24974