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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Li, W., Li, Y., & Wu, Y. (2009). A model based method for overall well focused catadioptric image acquisition with multi-focal images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5702 LNCS, pp. 460–467). https://doi.org/10.1007/978-3-642-03767-2_56
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