A Linear Dual-Space Approach to 3D Surface Reconstruction
from Occluding Contours using Algebraic Surfaces
Abstract
We present a linear approach to the 3D reconstruction problem
from occluding contours using algebraic surfaces. The problem of
noise and missing data in the occluding contours extracted from
the images leads us to this approach. Our approach is based first
on the intensive use of the duality property between 3D points
and tangent planes, and second on the algebraic representation of
3D surfaces by implicit polynomials of degree 2 and higher.
Reference
@inproceedings{jpt-iccv01,
author = {Kang, K. and Tarel, J.-P. and Fishman, R. and Cooper, D. B.},
title = {A Linear Dual-Space Approach to 3D Surface Reconstruction from Occluding Contours using Algebraic Surfaces},
booktitle = {IEEE International Conference on Computer Vision (ICCV'01)},
address = {Vancouver, Canada},
volume = {I},
pages = {198-204},
date = {July 9-12},
year = {2001},
note = {http://perso.lcpc.fr/tarel.jean-philippe/publis/iccv01.html}
}
Pdf file (479 Kb)
(c) IEEE