Abstract
Based on an analysis on the spatial distribution property of virtual features, we propose that the shapes of the best focused image regions in multi-focal catadioptric images can be modeled by a series of neighboring concentric annuluses. Based on this model, an over-all well focused image can be obtained by combining the best focused regions from a set of multi-focal images in a fast and reliable manner. A robust algorithm for estimating the model parameters is presented. Experiments with real catadioptric images under a variety of scenes verify the validity of the model and the robust performance of the algorithm.
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Li, W., Li, Y., Wu, Y. (2009). A Model Based Method for Overall Well Focused Catadioptric Image Acquisition with Multi-focal Images. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_56
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DOI: https://doi.org/10.1007/978-3-642-03767-2_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03766-5
Online ISBN: 978-3-642-03767-2
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