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Recovering 3-D Egomotion Parameters from Optic Flow: From Structural Principles to Analog Architectures
Padova, Italy September 11-September 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAMP.2000.875966Fifth IEEE International Workshop on ...
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S.P. Sabatini, P. Cavalleri, F. Solari, G.M. Bisio, "Recovering 3-D Egomotion Parameters from Optic Flow: From Structural Principles to Analog Architectures," Computer Architectures for Machine Perception, International Workshop on, pp. 117, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000.
 
 
BibTex
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@article{ 10.1109/CAMP.2000.875966,
author = {S.P. Sabatini and P. Cavalleri and F. Solari and G.M. Bisio},
title = {Recovering 3-D Egomotion Parameters from Optic Flow: From Structural Principles to Analog Architectures},
journal ={Computer Architectures for Machine Perception, International Workshop on},
volume = {0},
year = {2000},
isbn = {0-7695-0740-9},
pages = {117},
doi = {http://doi.ieeecomputersociety.org/10.1109/CAMP.2000.875966},
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 - Recovering 3-D Egomotion Parameters from Optic Flow: From Structural Principles to Analog Architectures
SN - 0-7695-0740-9
SP
EP
A1 - S.P. Sabatini,
A1 - P. Cavalleri,
A1 - F. Solari,
A1 - G.M. Bisio,
PY - 2000
KW - image sequences; egomotion parameters; optic flow; heading direction; undulatory spatiotemporal patterns; differential analysis; retinal reference frame
VL - 0
JA - Computer Architectures for Machine Perception, International Workshop on
ER -
 
S.P. Sabatini, Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
P. Cavalleri, Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
F. Solari, Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
G.M. Bisio, Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
A computational architecture for direct estimation of heading direction from optic flow is proposed. By representing optic flow information as undulatory spatiotemporal patterns, global first-order differential analysis of the optic flow is reconducted to spatiotemporal filtering operations with local kernels characterized with respect to the fixation point(gaze). These operations can be mapped with high efficiency on analog architectures based on structured arrays of cells reacting collectively to spatiotemporal input stimuli. By observing the overall distribution of cells' activity, it is possible to gain information on the orientation of the heading in the retinal reference frame and on the angle between the heading and the gaze directions.
Index Terms:
image sequences; egomotion parameters; optic flow; heading direction; undulatory spatiotemporal patterns; differential analysis; retinal reference frame
Citation:
S.P. Sabatini, P. Cavalleri, F. Solari, G.M. Bisio, "Recovering 3-D Egomotion Parameters from Optic Flow: From Structural Principles to Analog Architectures," camp, pp.117, Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000
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