Perspective photometric stereo beyond Lambert

Maryam Khanian; Ali Sharifi Boroujerdi; Michael Breuß

doi:10.1117/12.2182839

30 April 2015 Perspective photometric stereo beyond Lambert

Maryam Khanian, Ali Sharifi Boroujerdi, Michael Breuß

Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95341F (2015) https://doi.org/10.1117/12.2182839
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France

Abstract

Photometric stereo is a technique for estimating the 3-D depth of a surface using multiple images taken under different illuminations from the same viewing angle. Most existing models make use of Lambertian reflection and an orthographic camera as underlying assumptions. However, real-world materials often exhibit non-Lambertian effects such as specular highlights and for many applications it is of interest to consider objects close to the camera. In our work, we aim at addressing these issues. Together with a perspective camera we employ a non-Lambertian reflectance model, namely the Blinn-Phong model which is capable to deal with specular reflection. Focusing on the effects of specular highlights, we perform a detailed study of one-dimensional test cases showing important aspects of our method.

Citation Download Citation

Maryam Khanian, Ali Sharifi Boroujerdi, and Michael Breuß "Perspective photometric stereo beyond Lambert", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95341F (30 April 2015); https://doi.org/10.1117/12.2182839

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