Ruttle, Jonathan, Manzke, Michael and Dahyot, Rozenn (2009) Estimating 3D Scene Flow from Multiple 2D Optical Flows. International Machine Vision and Image Processing Conference (IMVIP 2009). pp. 6-11.
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Abstract
Scene flow is the motion of the surface points in the 3D
world. For a camera, it is seen as a 2D optical flow in the
image plane. Knowing the scene flow can be very useful as
it gives an idea of the surface geometry of the objects in the
scene and how those objects are moving. Four methods for
calculating the scene flow given multiple optical flows have
been explored and detailed in this paper along with the basic mathematics surrounding multi-view geometry. It was
found that given multiple optical flows it is possible to estimate the scene flow to different levels of detail depending
on the level of prior information present.
Item Type: | Article |
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Keywords: | Estimating; 3D Scene; Flow; Multiple 2D; Optical Flows; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 15285 |
Depositing User: | Rozenn Dahyot |
Date Deposited: | 19 Jan 2022 12:41 |
Journal or Publication Title: | International Machine Vision and Image Processing Conference (IMVIP 2009) |
Publisher: | IEEE |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/15285 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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