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Experience with Optical Flow Algorithms based on the Geometry of Points in Two Frames

Experience with Optical Flow Algorithms based on the Geometry of Points in Two Frames
Experience with Optical Flow Algorithms based on the Geometry of Points in Two Frames
A number of optical flow techniques exist for recovering the relative sensor-scene motion from image sequences, for subsequent use in vehicle guidance and navigation tasks. However, the problems of finding depths and motion, as well as various differential and kinematic approximations within the algorithms themselves, often lead to difficulties in the presence of noisy data. We examine various solution means and demonstrate how a small modification to an existing formulation produces a method adequate for our Autonomous Land Vehicle Application.
257--267
Stephens, A.
2a065f3d-38b4-4fab-8e0c-2062eb0b7f8a
Matthews, N.D.
67f2b57f-7b49-47ef-8910-a7bada8af702
Greenway, P.
828fc895-2bcf-4be0-a0f1-7deb1d3243c0
Stephens, A.
2a065f3d-38b4-4fab-8e0c-2062eb0b7f8a
Matthews, N.D.
67f2b57f-7b49-47ef-8910-a7bada8af702
Greenway, P.
828fc895-2bcf-4be0-a0f1-7deb1d3243c0

Stephens, A., Matthews, N.D. and Greenway, P. (1991) Experience with Optical Flow Algorithms based on the Geometry of Points in Two Frames. Mobile Robots VI. 257--267 .

Record type: Conference or Workshop Item (Other)

Abstract

A number of optical flow techniques exist for recovering the relative sensor-scene motion from image sequences, for subsequent use in vehicle guidance and navigation tasks. However, the problems of finding depths and motion, as well as various differential and kinematic approximations within the algorithms themselves, often lead to difficulties in the presence of noisy data. We examine various solution means and demonstrate how a small modification to an existing formulation produces a method adequate for our Autonomous Land Vehicle Application.

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More information

Published date: 1991
Additional Information: Organisation: SPIE
Venue - Dates: Mobile Robots VI, 1991-01-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 250370
URI: http://eprints.soton.ac.uk/id/eprint/250370
PURE UUID: 92b11c51-7f4b-4a9e-a871-9f22033bec3b

Catalogue record

Date deposited: 04 May 1999
Last modified: 10 Dec 2021 20:08

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Contributors

Author: A. Stephens
Author: N.D. Matthews
Author: P. Greenway

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