Abstract
This paper studies the application of gradient-based motion detection techniques (i.e., optical flow methods) for registration of adjacent images taken using a hand-held camera for the purposes of building a panorama. A general 8-parameter model or a more compact 3-parameter model is commonly used for transformation estimation. However, both models are approximations to the real situation when viewpoint position is not absolutely fixed but includes a small translation, and thus distortion and blurring are sometimes present in the final registration results. This paper proposes a new 5-parameter model that shows better result and has less strict requirement on good choice of unknown initial parameters. An analysis of disparity recovery range and its enlargement using Gaussian filter is also given.
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This research is supported by Shandong Excellent Young-Middle-Aged Scientist Fund under Grant No.03Bs001.
Hui Chen is an associate professor at Shandong University. She received the Ph.D. degree in computer science from the University of Hong Kong in 2002, and the M.S. degree in electrical engineering from Shandong University in 1987. Her research interests are in computer vision and image processing.
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Chen, H. Gradient-based approach for fine registration of panorama images. J. Comput. Sci. & Technol. 19, 691–697 (2004). https://doi.org/10.1007/BF02945596
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DOI: https://doi.org/10.1007/BF02945596