Depth from motion and defocus blur

Huei-Yung Lin; Chia-Hong Chang

doi:10.1117/1.2403851

1 December 2006 Depth from motion and defocus blur

Huei-Yung Lin, Chia-Hong Chang

Author Affiliations +

Optical Engineering, Vol. 45, Issue 12, 127201 (December 2006). https://doi.org/10.1117/1.2403851

Abstract

Finding the distance of an object in a scene from intensity images is an essential problem in many applications. In this work, we present a novel method for depth recovery from a single motion and defocus blurred image. Under the assumption of uniform lateral motion of the camera during finite exposure time, both the pinhole model and the camera with a finite aperture are considered. It is shown that the image blur produced by uniform linear motion of the camera is inversely proportional to the distance of the object. Furthermore, if the speed of the relative motion is known, the depth of the object can be acquired by identifying the blur parameters. An image blur model is formulated based on geometric optics. The blur extent is estimated by intensity profile analysis and focus measurement of the deblurred images. The proposed method is verified experimentally using different types of test patterns in an indoor environment.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Huei-Yung Lin and Chia-Hong Chang "Depth from motion and defocus blur," Optical Engineering 45(12), 127201 (1 December 2006). https://doi.org/10.1117/1.2403851

Published: 1 December 2006

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available