Title :
High dynamic range stereo video using SIFT and simultaneous multi-exposure
Author :
Schmidt, Sebastian ; Li, Ze-Nian
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ. Vancouver, Vancouver, BC, Canada
Abstract :
Stereo video is dramatically changing the landscape of the movie industry. As more and more feature films are shot entirely in 3D, we propose a method to improve the color fidelity of stereo video by adjusting the exposure of the stereo cameras individually. By effectively transferring the technology used in high dynamic range imaging to stereo video, we are able to enhance the contrast and the perceived quality of both video channels, while still only requiring a single shot. The efficient use of SIFT descriptors makes this method easily adaptable to any stereoscopic video and removes the main drawbacks of both stereo video and traditional high dynamic range imaging.
Keywords :
stereo image processing; transforms; video signal processing; SIFT; color fidelity; movie industry; simultaneous multiexposure; stereo cameras; stereo video; video channels; Cameras; Dynamic range; Heuristic algorithms; Image color analysis; Reliability; Stereo vision;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
DOI :
10.1109/ICSIPA.2011.6144107