By Topic

Three dimensional shape estimation from two dimensional images

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

1 Author(s)
Wood, S.L. ; Cornell University, Ithaca, New York

In two dimensional images of three dimensional reflecting surfaces, both the shape of the surface and the positions of sources of illumination determine relative values of image intensity. Segmentation of objects and estimation of surface shapes from 2D images are important research areas in scene analysis and computer vision. Many analyses of shape determination assume Lambertian surfaces which have no shadows, diffuse illumination, or specular reflections. While these results provide a good basis for shape from shading analysis, the nonlinear effects specifically omitted from consideration will, in most images of real objects, cause more error in shape estimation than additive white Gaussian noise processes. This paper considers segmentation of objects and estimation of surface shape in the presence of these nonlinear effects and demonstrates results both with well-behaved synthetically generated images and with real images acquired under somewhat controlled conditions.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '85.  (Volume:10 )

Date of Conference:

Apr 1985