An Implementation of Combined Local-Global Optical Flow
Optical Flow (OF) approaches for motion estimation calculate vector fields for the apparent velocities of objects in image sequences. In 1981 Horn and Schunck (HS) introduced two basic assumptions: 'brightness value constancy' and 'smooth variation' to estimate a smooth OF field...
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Format: | Article |
Language: | English |
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Image Processing On Line
2015-06-01
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Series: | Image Processing On Line |
Online Access: | http://www.ipol.im/pub/art/2015/44/ |
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author | Jorge Jara-Wilde Mauricio Cerda José Delpiano Steffen Härtel |
author_facet | Jorge Jara-Wilde Mauricio Cerda José Delpiano Steffen Härtel |
author_sort | Jorge Jara-Wilde |
collection | DOAJ |
description | Optical Flow (OF) approaches for motion estimation calculate vector fields for the apparent velocities of objects in image sequences. In 1981 Horn and Schunck (HS) introduced two basic assumptions: 'brightness value constancy' and 'smooth variation' to estimate a smooth OF field over the entire image -global approach-. In parallel, Lucas and Kanade (LK) assumed constant motion patterns for image patches, estimating piecewise-homogeneous OF fields -local approach-. Several variations of these approaches exist today. Here we present the combined local-global (CLG) approach by Bruhn et al. which encompasses properties of HS-OF and LK-OF, aiming to improve the OF accuracy for small-scale variations, while delivering the HS-OF dense and smooth fields. A multiscale implementation is provided for 2D images, together with two numerical solvers: Successive Over-Relaxation and the faster Pointwise-Coupled Gauss-Seidel by Bruhn et al.. The algorithm works on gray-scale (single channel) images, with color images being converted prior to the OF computation. |
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format | Article |
id | doaj.art-5f85e39116b14ebb9ec2352dec0812c5 |
institution | Directory Open Access Journal |
issn | 2105-1232 |
language | English |
last_indexed | 2024-12-23T21:06:50Z |
publishDate | 2015-06-01 |
publisher | Image Processing On Line |
record_format | Article |
series | Image Processing On Line |
spelling | doaj.art-5f85e39116b14ebb9ec2352dec0812c52022-12-21T17:31:12ZengImage Processing On LineImage Processing On Line2105-12322015-06-01513915810.5201/ipol.2015.44An Implementation of Combined Local-Global Optical FlowJorge Jara-Wilde Mauricio CerdaJosé DelpianoSteffen HärtelOptical Flow (OF) approaches for motion estimation calculate vector fields for the apparent velocities of objects in image sequences. In 1981 Horn and Schunck (HS) introduced two basic assumptions: 'brightness value constancy' and 'smooth variation' to estimate a smooth OF field over the entire image -global approach-. In parallel, Lucas and Kanade (LK) assumed constant motion patterns for image patches, estimating piecewise-homogeneous OF fields -local approach-. Several variations of these approaches exist today. Here we present the combined local-global (CLG) approach by Bruhn et al. which encompasses properties of HS-OF and LK-OF, aiming to improve the OF accuracy for small-scale variations, while delivering the HS-OF dense and smooth fields. A multiscale implementation is provided for 2D images, together with two numerical solvers: Successive Over-Relaxation and the faster Pointwise-Coupled Gauss-Seidel by Bruhn et al.. The algorithm works on gray-scale (single channel) images, with color images being converted prior to the OF computation.http://www.ipol.im/pub/art/2015/44/ |
spellingShingle | Jorge Jara-Wilde Mauricio Cerda José Delpiano Steffen Härtel An Implementation of Combined Local-Global Optical Flow Image Processing On Line |
title | An Implementation of Combined Local-Global Optical Flow |
title_full | An Implementation of Combined Local-Global Optical Flow |
title_fullStr | An Implementation of Combined Local-Global Optical Flow |
title_full_unstemmed | An Implementation of Combined Local-Global Optical Flow |
title_short | An Implementation of Combined Local-Global Optical Flow |
title_sort | implementation of combined local global optical flow |
url | http://www.ipol.im/pub/art/2015/44/ |
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