DocumentCode :
248989
Title :
MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video
Author :
Angehrn, F. ; Wang, O. ; Aksoy, Y. ; Gross, M. ; Smolic, A.
Author_Institution :
ETH Zurich, Zurich, Switzerland
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3474
Lastpage :
3478
Abstract :
Free viewpoint video enables interactive viewpoint selection in real world scenes, which is attractive for many applications such as sports visualization. Multi-camera registration is one of the difficult tasks in such systems. We introduce the concept of a static high resolution master camera for improved long-term multiview alignment. All broadcast cameras are aligned to a common reference. Our approach builds on frame-to-frame alignment, extended into a recursive long-term estimation process, which is shown to be accurate, robust and stable over long sequences.
Keywords :
cameras; data visualisation; image registration; image resolution; MasterCam FVV; frame-to-frame alignment; free viewpoint video; interactive viewpoint selection; long-term estimation process; multicamera registration; sports visualization; static high-resolution master camera; Calibration; Cameras; Estimation; Image edge detection; Production; Robustness; Three-dimensional displays; Free viewpoint video; alignment; camera registration; multiview video; sports visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025705
Filename :
7025705
Link To Document :
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