Authors:
Dimitri Bulatov
1
and
John E. Lavery
2
Affiliations:
1
Research Institute for Optronics and Pattern Recognition (FGAN-FOM), Germany
;
2
Research Institute for Optronics and Pattern Recognition (FGAN-FOM) and Research Triangle Park, Germany
Keyword(s):
3D, Alpha shapes, Cubic spline, Irregular data, L1 Spline, Noisy, Nonparametric, Optical, Parametric, Reconstruction, Texturing, Urban terrain.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Retrieval of 3D Objects from Video Sequences
;
Software Engineering
Abstract:
We compare computational results for three procedures for reconstruction and texturing of 3D urban terrain. One pro¬¬cedure is based on recently developed “L1 splines”, another on conventional splines and a third on “α-shapes”. Computational results generated from optical images of a model house and of the Gottesaue Palace in Karlsruhe, Germany are presented. These comparisons indicate that the L1-spline-based procedure pro¬duces textured reconstructions that are superior to those produced by the conventional-spline-based pro¬ce¬dure and the α-shapes-based procedure.