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Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
Active Computer Vision System
Padova, Italy
September 11-September 13
ISBN: 0-7695-0740-9
ASCII Text
x 
 
D. Paulus, C. Drexler, M. Reinhold, M. Zobel, J. Denzler, "Active Computer Vision System," Computer Architectures for Machine Perception, International Workshop on, pp. 18, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000.
 
 
BibTex
x
 
@article{ 10.1109/CAMP.2000.875955,
author = {D. Paulus and C. Drexler and M. Reinhold and M. Zobel and J. Denzler},
title = {Active Computer Vision System},
journal ={Computer Architectures for Machine Perception, International Workshop on},
volume = {0},
year = {2000},
isbn = {0-7695-0740-9},
pages = {18},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAMP.2000.875955},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Architectures for Machine Perception, International Workshop on
TI - Active Computer Vision System
SN - 0-7695-0740-9
SP
EP
A1 - D. Paulus,
A1 - C. Drexler,
A1 - M. Reinhold,
A1 - M. Zobel,
A1 - J. Denzler,
PY - 2000
KW - active vision; active computer vision; data-driven active vision; modular architecture; image understanding; autonomous mobile service robot; image segmentation; object-oriented programming
VL - 0
JA - Computer Architectures for Machine Perception, International Workshop on
ER -
 
D. Paulus, Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
C. Drexler, Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
M. Reinhold, Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
M. Zobel, Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
J. Denzler, Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany
We present a modular architecture for image understanding and active computer vision which consists of the following major components: sensor and actor interfaces required for data-driven active vision are encapsulated to hide machine-dependent parts; image segmentation is implemented in object-oriented programming as a hierarchy of image operator classes, guaranteeing simple and uniform interfaces. We apply this architecture to appearance-based object recognition. This is used for an autonomous mobile service robot which has to locate objects using visual sensors.
Index Terms:
active vision; active computer vision; data-driven active vision; modular architecture; image understanding; autonomous mobile service robot; image segmentation; object-oriented programming
Citation:
D. Paulus, C. Drexler, M. Reinhold, M. Zobel, J. Denzler, "Active Computer Vision System," camp, pp.18, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000
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