Depth Map Estimation based on Linear Regression using Image Focus
This paper presents a method for depth estimation using image focus based on the linear regression model. Two datasets are selected for each pixel based on the maximum value which is calculated using Laplacian operator. Then linear regression model is used to find lines that approximate these datase...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2011
|
| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/3074/ http://scholars.utp.edu.my/id/eprint/3074/1/2011_IJIST.pdf |
| _version_ | 1848659347303825408 |
|---|---|
| author | Malik , Aamir Saeed Song, Taek Lyul Choi, Tae-Sun |
| author_facet | Malik , Aamir Saeed Song, Taek Lyul Choi, Tae-Sun |
| author_sort | Malik , Aamir Saeed |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | This paper presents a method for depth estimation using image focus based on the linear regression model. Two datasets are selected for each pixel based on the maximum value which is calculated using Laplacian operator. Then linear regression model is used to find lines that approximate these datasets. The best fit lines are found using least squares method. After approximating the two lines, their intersection point is calculated and weights are assigned to calculate the new value for the depth map. The proposed method is compared with four depth estimation algorithms. Six different objects are selected for testing the proposed method. |
| first_indexed | 2025-11-13T07:28:59Z |
| format | Article |
| id | oai:scholars.utp.edu.my:3074 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:28:59Z |
| publishDate | 2011 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:30742017-01-19T08:22:30Z http://scholars.utp.edu.my/id/eprint/3074/ Depth Map Estimation based on Linear Regression using Image Focus Malik , Aamir Saeed Song, Taek Lyul Choi, Tae-Sun TK Electrical engineering. Electronics Nuclear engineering This paper presents a method for depth estimation using image focus based on the linear regression model. Two datasets are selected for each pixel based on the maximum value which is calculated using Laplacian operator. Then linear regression model is used to find lines that approximate these datasets. The best fit lines are found using least squares method. After approximating the two lines, their intersection point is calculated and weights are assigned to calculate the new value for the depth map. The proposed method is compared with four depth estimation algorithms. Six different objects are selected for testing the proposed method. Wiley 2011-08 Article PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/3074/1/2011_IJIST.pdf Malik , Aamir Saeed and Song, Taek Lyul and Choi, Tae-Sun (2011) Depth Map Estimation based on Linear Regression using Image Focus. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 21 (3). pp. 241-246. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Malik , Aamir Saeed Song, Taek Lyul Choi, Tae-Sun Depth Map Estimation based on Linear Regression using Image Focus |
| title | Depth Map Estimation based on Linear Regression using Image Focus |
| title_full | Depth Map Estimation based on Linear Regression using Image Focus |
| title_fullStr | Depth Map Estimation based on Linear Regression using Image Focus |
| title_full_unstemmed | Depth Map Estimation based on Linear Regression using Image Focus |
| title_short | Depth Map Estimation based on Linear Regression using Image Focus |
| title_sort | depth map estimation based on linear regression using image focus |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/3074/ http://scholars.utp.edu.my/id/eprint/3074/1/2011_IJIST.pdf |