DocumentCode
2476323
Title
Novel view synthesis for traffic accident scene from sparse uncalibrated sample views
Author
Liang, Bodong
Author_Institution
Sch. of Automotive & Transp. Eng., Shenzhen Polytech., Shenzhen, China
fYear
2012
fDate
14-17 Oct. 2012
Firstpage
3033
Lastpage
3038
Abstract
Based on limited sample views of a road traffic accident scene captured on site, this paper aims to achieve goal of virtually capturing the traffic accident scene from several virtual viewpoints by generating novel views of scene at novel viewpoints. To avoid explicit 3D reconstruction, the novel view is synthesized via a view interpolation mechanism, in which the to-be-interpolated image function changing with viewpoint is formulated to 2 sub-functions: image feature position and image intensity. The synthesized novel view changes smoothly with the novel viewpoint in terms of both feature position and intensity and returns a given sample view exactly when the novel viewpoint falls upon the viewpoint associated with this sample view. Experimental result shows that, even from sparse uncalibrated sample views, the proposed method is effective in producing novel views that appear like those captured by a slowly moving camera.
Keywords
accidents; image reconstruction; road traffic; traffic engineering computing; virtual reality; 3D reconstruction; image feature position; image intensity; limited sample views; road traffic accident scene; slowly moving camera; sparse uncalibrated sample views; to-be-interpolated image function; traffic accident scene virtual capture; view interpolation mechanism; view synthesis; virtual viewpoints; Accidents; Cameras; Interpolation; Measurement; Three dimensional displays; Trajectory; Vectors; traffic accident; view interpolation; view synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4673-1713-9
Electronic_ISBN
978-1-4673-1712-2
Type
conf
DOI
10.1109/ICSMC.2012.6378256
Filename
6378256
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