Panoramas from partially blurred video

Authors:
Jani Boutellier;Olli Silvén
Affiliations:
Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Finland;Machine Vision Group, Department of Electrical and Information Engineering, University of Oulu, Finland
Venue:
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Year:
2006

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Abstract

Numerous high-quality image stitching algorithms have been published in the recent years. Mosaics created by these methods are of high quality if the input images are not distorted. However, if the source images are blurred, parts of the resulting mosaic will be blurred also. In this paper we propose a method to create high-quality panoramas from video sequences that contain also low-quality frames. Moreover, our method is computationally efficient, which makes it attractive for hand-held devices. The algorithm uses motion detection to display correctly moving objects in the sequence. The colors of the mosaic are also balanced to handle changes in camera exposure times.