Name
Abstract | ||
|---|---|---|
Auto-focusing is a key feature of modern camera systems that ensures a focused image is captured without the need for any user intervention. Passive auto-focusing is achieved based on a measure of sharpness or a sharpness function that is extracted from a series of images at different focal positions. With the rapid growth of stereo camera systems for 3D applications, this paper introduces a sharpness function when a series of stereo image pairs are captured at different focal positions. This function is defined based on the joint information between the left and right images. A comparison is carried out between the introduced sharpness function and the conventional sharpness functions when considering the left and right images separately in terms of sharpness accuracy and computation time. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6116631 | Image Processing |
Keywords | Field | DocType |
computational complexity,stereo image processing,3D applications,autofocus sharpness function,computation time,focal positions,left images,passive autofocusing,right images,sharpness accuracy,stereo camera systems,stereo image pairs,user intervention,3D image capture,Stereo camera systems,auto-focus,sharpness function for stereo image pairs | Computer vision,Histogram,Stereo camera,Pattern recognition,Autofocus,Computer science,Artificial intelligence,Stereo image,Computational complexity theory,Computation | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4577-1302-6 | 978-1-4577-1302-6 | 1 |
PageRank | References | Authors |
0.38 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Rahman | 1 | 52 | 4.64 |
| Nasser D. Kehtarnavaz | 2 | 534 | 66.02 |
| Siamak Yousefi | 3 | 86 | 13.41 |