Recovering 3-D egomotion parameters from optic flow: from structural principles to analog architectures

Author

Sabatini, Silvio P. ; Cavalleri, Paolo ; Solari, Fabio ; Bisio, Giacomo M.

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

2000

fDate

2000

Firstpage

117

Lastpage

121

Abstract

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

Keywords

image sequences; motion estimation; differential analysis; egomotion parameters; heading direction; optic flow; retinal reference frame; undulatory spatiotemporal patterns; Computer architecture; Image motion analysis; Information analysis; Information filtering; Information filters; Kernel; Optical computing; Optical filters; Pattern analysis; Spatiotemporal phenomena;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Architectures for Machine Perception, 2000. Proceedings. Fifth IEEE International Workshop on

Conference_Location

Padova

Print_ISBN

0-7695-0740-9

Type

conf

DOI

10.1109/CAMP.2000.875966

Filename

875966