relation: https://khub.utp.edu.my/scholars/1944/
title: Depth map estimation based on linear regression using image focus
creator: Malik, A.S.
creator: Song, T.L.
creator: Choi, T.-S.
description: This article 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. © 2011 Wiley Periodicals, Inc.
date: 2011
type: Article
type: PeerReviewed
identifier:   Malik, A.S. and Song, T.L. and Choi, T.-S.  (2011) Depth map estimation based on linear regression using image focus.  International Journal of Imaging Systems and Technology, 21 (3).  pp. 241-246.  ISSN 08999457     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052091881&doi=10.1002%2fima.20274&partnerID=40&md5=cc45dc47e6685570ecf9e4e3bbbb3dbd
relation: 10.1002/ima.20274
identifier: 10.1002/ima.20274