A generalized depth estimation algorithm with a single image

Author

Lai, Shang-Hong ; Fu, Chang-Wu ; Chang, Shyang

Author_Institution

Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsin Chu, Taiwan

Volume

14

Issue

4

fYear

1992

fDate

4/1/1992 12:00:00 AM

Firstpage

405

Lastpage

411

Abstract

A depth estimation algorithm proposed by A.P. Pentland (1987) is generalized. In the proposed algorithm, the raw image data in the vicinity of the edge is used to estimate the depth from defocus. Since no differentiation operation on the image data is required before the optimization process, the method is less sensitive to the noise disturbance of measurements. Furthermore, the edge orientation that was critical in Pentland´s approach will not be required in the case. This algorithm is then applied to synthetic images containing various amounts of noise to test its performance. Experimental results indicate that the depth estimation errors are kept within 5% of true values on the average when it is applied to real images

Keywords

computer vision; optimisation; parameter estimation; computer vision; defocus; edge orientation; generalized depth estimation algorithm; optimization; parameter estimation; synthetic images; Cameras; Computer vision; Estimation error; Focusing; Layout; Lenses; Noise measurement; Optimization methods; Shape; Testing;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.126803

Filename

126803