By Topic

Three-dimensional surface reconstruction using computational stereopsis

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)
Dudgeon, J.E. ; Dept. of Electr. Eng., Alabama Univ., Tuscaloosa, AL, USA ; Gaoping Yu

A computer process for reconstructing 3D objects using two spatially separated photographic images is introduced and implemented. Normalized cross-correlation is used to locate feature points which are common to both 2D images. The displacements of these feature points are used to generate disparity maps, and disparity values can be used to compute x,y,z locations. Since disparity maps are typically noisy and not fully populated with known disparity points, a mathematical curve fitting is necessary to fill in missing points and smooth the data. Adaptive smoothing algorithms have been investigated and used to develop a method for refining the disparity map and reconstructing 3D surfaces

Published in:

Southeastcon '95. Visualize the Future., Proceedings., IEEE

Date of Conference:

26-29 Mar 1995