Depth Map Estimation based on Linear Regression using Image Focus

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.

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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.

Item Type: Article
Impact Factor: Impact factor: 0.709
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 05 Sep 2011 00:38
Last Modified: 19 Jan 2017 08:22

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