Paper Info
Title
A Model Based Method for Overall Well Focused Catadioptric Image Acquisition with Multi-focal Images
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.
Year
DOI
Venue
2009
10.1007/978-3-642-03767-2_56
CAIP
Keywords
Field
DocType
multi-focal catadioptric image,real catadioptric image,catadioptric system,multi-focal image,robust performance,model parameter,robust algorithm,reliable manner,well-focused image.,neighboring concentric annulus,catadioptric image,focused image region,multi-focal images,focused region
Computer vision,Concentric,Pattern recognition,Computer science,Artificial intelligence,Catadioptric system
Conference
Volume
ISSN
Citations 
5702
0302-9743
4
PageRank 
References 
Authors
0.41
10
3
Name
Order
Citations
PageRank
Weiming Li191.86
Y. F. Li21128105.83
Yihong Wu339439.86