Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/IMVIP.2009.8 | IMVIP |
Keywords | Field | DocType |
surface geometry,surface point,multi-view geometry,image plane,prior information present,different level,multiple optical flow,basic mathematics,optical flow,optical flows,scene flow,pixel,histograms,object recognition,computer vision,optical imaging,adaptive optics,level of detail,geometry | Histogram,Computer vision,Computer graphics (images),Surface geometry,Image plane,Flow (psychology),Artificial intelligence,Pixel,Optical flow,Mathematics,Adaptive optics,Cognitive neuroscience of visual object recognition | Conference |
Citations | PageRank | References |
4 | 0.47 | 10 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jonathan Ruttle | 1 | 12 | 2.75 |
Michael Manzke | 2 | 44 | 9.19 |
Rozenn Dahyot | 3 | 340 | 32.62 |