Robust shape reconstruction from combined shading and stereo information

Kyoung Mu Lee; C.-C. Jay Kuo

doi:10.1117/12.139062

12 January 1993 Robust shape reconstruction from combined shading and stereo information

Kyoung Mu Lee, C.-C. Jay Kuo

Proceedings Volume 1771, Applications of Digital Image Processing XV; (1993) https://doi.org/10.1117/12.139062
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

In this research, we first show that single-image shape from shading (SFS) algorithms share an inherent limitation in the accuracy of reconstructed surfaces due to the property of the reflectance map. That is, surface orientations can be accurately recovered if they lie along the gradient direction of the reflectance map function, but cannot be easily recovered if lying along the tangential direction. Then, we consider two methods which incorporate stereo information with shading to improve the performance. One is to use multiple images taken under different lightening conditions known as photometric stereo, and the other is to incorporate the height information obtained from images taken from different viewing angles known as the geometric stereo. With photometric stereo, we compensate the weakness of each reflectance map by combining several reflectance maps in a proper way in the gradient space and hence improve the accuracy of the results. With geometric stereo, absolute heights at sparse feature points are obtained and used as constraints on the resulting surface so that the ambiguity can be resolved. Simulation results for several test images are given to show the performance of our new robust algorithms.

Citation Download Citation

Kyoung Mu Lee and C.-C. Jay Kuo "Robust shape reconstruction from combined shading and stereo information", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139062

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