DocumentCode :
2301113
Title :
Estimating 3D Scene Flow from Multiple 2D Optical Flows
Author :
Ruttle, Jonathan ; Manzke, Michael ; Dahyot, Rozenn
Author_Institution :
Sch. of Comput. Sci. & Stat., Graphics Vision & Visualisation Group, Trinity Coll. Dublin, Dublin, Ireland
fYear :
2009
fDate :
2-4 Sept. 2009
Firstpage :
1
Lastpage :
6
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.
Keywords :
geometry; image sequences; object recognition; 3D scene flow estimation; image plane; multiple 2D optical flow; multiview geometry; surface geometry; Cameras; Geometrical optics; Histograms; Image motion analysis; Image processing; Layout; Machine vision; Mathematics; Motion estimation; Optical computing; 3D scene geometry; optical flow; scene flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing Conference, 2009. IMVIP '09. 13th International
Conference_Location :
Dublin
Print_ISBN :
978-1-4244-4875-3
Electronic_ISBN :
978-0-7695-3796-2
Type :
conf
DOI :
10.1109/IMVIP.2009.8
Filename :
5319350
Link To Document :
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