Name
Abstract | ||
|---|---|---|
In this paper, we discuss how to generate omnifocus images from a sequence of different focal setting images. We first show that the existing focus measures would encounter difficulty when detecting which frame is most focused for pixels in the regions between intensity edges and uniform areas. Then we propose a new focus measure that could be used to handle this problem. In addition, after computing focus measures for every pixel in all images, we construct a three dimensional (3D) node-capacitated graph and apply a graph cut based optimization method to estimate a spatio-focus surface that minimizes the summation of the new focus measure values on this surface. An omnifocus image can be directly generated from this minimal spatio-focus surface. Experimental results with simulated and real scenes are provided. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICPR.2004.1333868 | Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference |
Keywords | Field | DocType |
edge detection,image sequences,optimisation,focal setting image,graph cut based optimization method,intensity edge,omnifocus image,spatio-focus surface,three dimensional node-capacitated graph | Cut,Graph,Computer vision,Computer science,Edge detection,Pixel,Focus measure,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
4 | 1051-4651 | 0-7695-2128-2 |
Citations | PageRank | References |
8 | 0.65 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Xu | 1 | 184 | 20.03 |
| Kar-han Tan | 2 | 622 | 43.39 |
| Himanshu Arora | 3 | 77 | 9.54 |
| Narendra Ahuja | 4 | 7726 | 956.74 |