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Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05)
Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems
Palermo, Italy
July 04-July 06
ISBN: 0-7695-2255-6
ASCII Text
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Roberto Pirrone, Giuseppe Careri, F. Saverio Fabiano, Antonio Gentile, Salvatore Gaglio, "Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems," Computer Architectures for Machine Perception, International Workshop on, pp. 99-104, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005.
 
 
BibTex
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@article{ 10.1109/CAMP.2005.44,
author = {Roberto Pirrone and Giuseppe Careri and F. Saverio Fabiano and Antonio Gentile and Salvatore Gaglio},
title = {Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems},
journal ={Computer Architectures for Machine Perception, International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2255-6},
pages = {99-104},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.44},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Architectures for Machine Perception, International Workshop on
TI - Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems
SN - 0-7695-2255-6
SP99
EP104
A1 - Roberto Pirrone,
A1 - Giuseppe Careri,
A1 - F. Saverio Fabiano,
A1 - Antonio Gentile,
A1 - Salvatore Gaglio,
PY - 2005
KW - null
VL - 0
JA - Computer Architectures for Machine Perception, International Workshop on
ER -
 
Roberto Pirrone, Universit? di Palermo
Giuseppe Careri, Universit? di Palermo
F. Saverio Fabiano, Universit? di Palermo
Antonio Gentile, Universit? di Palermo
Salvatore Gaglio, Universit? di Palermo
Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all sensory computation is delegated to remote machines. Emerging gigascale integration technologies offer the opportunity to explore alternative computing architectures that can deliver a significant boost to on-board computing when implemented in embedded, reconfigurable devices. This paper explores the mapping of low level feature extraction on one such architecture, the Georgia Tech SIMD Pixel Processor (SIMPil). The Fast Boundary Web Extraction (fBWE) algorithm is adapted and mapped on SIMPil as a fixedpoint, data parallel implementation. Application components and their mapping details are provided in this contribution along with a detailed analysis of their performance.
Citation:
Roberto Pirrone, Giuseppe Careri, F. Saverio Fabiano, Antonio Gentile, Salvatore Gaglio, "Real-Time Low Level Feature Extraction for On-Board Robot Vision Systems," camp, pp.99-104, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005
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