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Content Provider | IEEE Xplore Digital Library |
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Author | Malik, A.S. Tae-Sun Choi |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Mechatron., Gwangju Inst. of Sci. & Technol., Gwangju (Malik, A.S.; Tae-Sun Choi) |
Abstract | In this paper we present a method for depth estimation using image focus for 3D shape recovery. The method is based on the regression model. First the sequence of images is processed using Laplacian operator and the first estimate for the maximum value is found. Two datasets are selected for each pixel based on that maximum value. For each of the two datasets, a straight line is approximated to fit each of the dataset. Least squares method is used to find the best fit. The intersection point of the two lines is computed and weights are used so that the final depth map can be obtained. Finally, averaging filter is used to remove noise. The proposed method is compared with earlier depth estimation algorithms using various test objects. |
Starting Page | 1952 |
Ending Page | 1955 |
File Size | 288660 |
Page Count | 4 |
File Format | |
ISBN | 9781424417650 |
ISSN | 15224880 |
DOI | 10.1109/ICIP.2008.4712164 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Focusing Laplace equations Lenses Shape Optical filters Optical noise Cameras Image retrieval Mechatronics Least squares approximation Intersection Method 3D optical passive methods Image focus |
Content Type | Text |
Resource Type | Article |
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