dc.contributor.author |
Wedel, Andreas |
en |
dc.contributor.author |
Rabe, Clemens |
en |
dc.contributor.author |
Vaudrey, Tobi |
en |
dc.contributor.author |
Brox, Thomas |
en |
dc.contributor.author |
Cremers, Daniel |
en |
dc.date.accessioned |
2008-12-11T22:32:36Z |
en |
dc.date.available |
2008-12-11T22:32:36Z |
en |
dc.date.issued |
2008 |
en |
dc.identifier.citation |
Multimedia Imaging Report 11 (2008) |
en |
dc.identifier.issn |
1178-5789 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/3257 |
en |
dc.description |
You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original MI_tech website http://www.mi.auckland.ac.nz/index.php?option=com_content&view=article&id=91&Itemid=76 . All other rights are reserved by the author(s). |
en |
dc.description.abstract |
This paper presents a technique for estimating the threedimensional
velocity vector field that describes the motion of each visible
scene point (scene flow). The technique presented uses two consecutive
image pairs from a stereo sequence. The main contribution is to decouple
the position and velocity estimation steps, and to estimate dense velocities
using a variational approach. We enforce the scene flow to yield
consistent displacement vectors in the left and right images. The decoupling
strategy has two main advantages: Firstly, we are independent in
choosing a disparity estimation technique, which can yield either sparse
or dense correspondences, and secondly, we can achieve frame rates of
5 fps on standard consumer hardware. The approach provides dense velocity
estimates with accurate results at distances up to 50 meters. |
en |
dc.publisher |
Computer Science Department, The University of Auckland, New Zealand |
en |
dc.relation.ispartofseries |
MI-tech Report Series |
en |
dc.rights |
Copyright Computer Science Department, The University of Auckland. You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the original CITR web site under terms that include this permission. All other rights are reserved by the author(s). |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.source.uri |
http://www.mi.auckland.ac.nz/tech-reports/MItech-TR-11.pdf |
en |
dc.title |
Efficient Dense Scene Flow from Sparse or Dense Stereo Data |
en |
dc.type |
Technical Report |
en |
dc.subject.marsden |
Fields of Research::280000 Information, Computing and Communication Sciences |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |