DocumentCode :
3366544
Title :
Issues in adapting research algorithms to stereoscopic visual effects
Author :
Hillman, Peter ; Lewis, J.P. ; Sylwan, Sebastian ; Winquist, Erik
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
17
Lastpage :
20
Abstract :
Many published machine vision algorithms are designed to be real-time and fully automatic with low computational complexity. These attributes are essential for applications such as stereo robotic vision. Motion Picture Digital Visual Effect facilities, however, have massive computation resources available and can afford human interaction to initialise algorithms and to guide them towards a good solution. On the other hand, motion pictures have significantly higher accuracy requirements and other unique challenges. Not all machine vision algorithms can readily be adapted to this environment. In this paper we outline the requirements of visual effects and indicate several challenges involved in using image processing and machine vision algorithms for stereo motion picture visual effects.
Keywords :
computational complexity; computer vision; stereo image processing; adapting research algorithm; computational complexity; image processing; machine vision algorithm; motion picture digital visual effect facility; stereo motion picture visual effects; stereo robotic vision; stereoscopic visual effect; Cameras; Companies; Paints; Pipelines; Pixel; Stereo vision; Visual effects; Stereo; algorithms; computer vision; film; image processing; pipeline; visual effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5653542
Filename :
5653542
Link To Document :
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