A Caltech Library Service

An Integrated Vision Sensor for the Computation of Optical Flow Singular Points

Higgins, Charles M. and Koch, Christof (1999) An Integrated Vision Sensor for the Computation of Optical Flow Singular Points. In: Advances in Neural Information Processing Systems 11 (NIPS 1998). Advances in Neural Information Processing Systems. No.11. MIT Press , Cambridge, MA, pp. 699-705. ISBN 0-262-11245-0.

[img] PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


A robust, integrative algorithm is presented for computing the position of the focus of expansion or axis of rotation (the singular point) in optical flow fields such as those generated by self-motion. Measurements are shown of a fully parallel CMOS analog VLSI motion sensor array which computes the direction of local motion (sign of optical flow) at each pixel and can directly implement this algorithm. The flow field singular point is computed in real time with a power consumption of less than 2 mW. Computation of the singular point for more general flow fields requires measures of field expansion and rotation, which it is shown can also be computed in real-time hardware, again using only the sign of the optical flow field. These measures, along with the location of the singular point, provide robust real-time self-motion information for the visual guidance of a moving platform such as a robot.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Koch, Christof0000-0001-6482-8067
Additional Information:© 1999 Massachusetts Institute of Technology. This research was supported by the Caltech Center for Neuromorphic Systems Engineering as a part of the National Science Foundation's Engineering Research Center program, as well as by the Office of Naval Research. The authors wish to thank Rainer Deutschmann for stimulating discussions.
Group:Koch Laboratory (KLAB)
Funding AgencyGrant Number
Caltech Center for Neuromorphic Systems Engineering (CNSE)UNSPECIFIED
Office of Naval Research (ONR)UNSPECIFIED
Record Number:CaltechAUTHORS:20160229-160500915
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64875
Deposited By: Kristin Buxton
Deposited On:01 Mar 2016 00:15
Last Modified:25 Oct 2018 21:05

Repository Staff Only: item control page