Cart (Loading....) | Create Account
Close category search window

Photometric stereo under unknown light sources using robust SVD with missing data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Miyazaki, D. ; Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan ; Ikeuchi, K.

In this paper, we propose a novel photometric stereo method that uses singular value decomposition. Singular value decomposition can solve the photometric stereo problem when the light source direction is unknown; however, it has the critical problem of being sensitive to outliers. We therefore propose a novel singular value decomposition method that is robust to outliers. We also show some results of our photometric stereo method when applied to objects that involve not only diffuse reflection but also specular reflection.

Published in:

Image Processing (ICIP), 2010 17th IEEE International Conference on

Date of Conference:

26-29 Sept. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.