Parallel architectures and parallel algorithms for integrated vision systems

Computer vision has been regarded as one of the most complex and computationally intensive problems. An integrated vision system (IVS) is a system that uses vision algorithms from all levels of processing to perform for a high level application (e.g, object recognition). This thesis addresses several issues in parallel architectures and parallel algorithms for integrated vision systems.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Choudhary, Alok Nidhi

Contributors dc:contributor

• Patel, Janak H.

• Engineering, Electronics and Electrical
• Computer Science

Statement dc:rights

• Copyright 1989 Choudhary, Alok Nidhi

Language dc:language

eng

Identifier

AAI9010831
(UMI)AAI9010831

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/22790