Abstract | ||
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In this paper, we propose a method to synthesize arbitrary views of a planar scene from a monocular video sequence of it. The 3-D direction of motion of the object is robustly estimated from the video sequence. Given this direction any other view of the object can be synthesized through a perspective projection approach, under assumptions of planarity. If the distance of the object from the camera is large, a planar approximation is reasonable even for non-planar scenes. Such a method has many important applications, one of them being gait recognition where a side view of the person is required. Our method can be used to synthesize the side-view of the person in case he/she does not present a side view to the camera. Since the planarity assumption is often an approximation, the effects of non-planarity can lead to inaccuracies in rendering and needs to be corrected for. Regions where this happens are examined and a simple technique based on weak perspective approximation is proposed to offset rendering inaccuracies. Examples of synthesized views using our method and performance evaluation are presented. |
Year | DOI | Venue |
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2003 | 10.1109/ICME.2003.1220958 | ICME |
Keywords | Field | DocType |
planarity assumption,perspective projection approach,planar approximation,arbitrary view,weak perspective approximation,side view,planar scene,monocular video sequence,3-d direction,synthesized view,planar dynamic scene,layout,video compression,perspective projection,motion estimation,automation,robustness | Computer vision,Video post-processing,Real-time rendering,3D rendering,Computer science,Alternate frame rendering,Image-based lighting,Video tracking,Artificial intelligence,Image-based modeling and rendering,Rendering (computer graphics) | Conference |
ISBN | Citations | PageRank |
0-7803-7965-9 | 0 | 0.34 |
References | Authors | |
3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amit Kale | 1 | 708 | 48.47 |
A. K. R. Chowdhury | 2 | 0 | 0.34 |
Chellappa, R. | 3 | 13050 | 1440.56 |