Share Email Print

Proceedings Paper

3D primitive reconstruction using the line segment
Author(s): Sung-Dong Cho; Tae-Hong Min; Kyung-Hyun Yoon
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a 3-D reconstruction method IBM (image based modeling) of an image that does not contain any camera information. This system adopts a 3D reconstruction method based on a model. Model-based 3D reconstruction recovers an image using the geometric characteristics of a pre-defined polyhedron model. It uses a pre-defined polyhedron model as the primitive and the 3D reconstruction is processed by mapping the correspondence point of the primitive model onto the picture image. Existing model-based 3D reconstruction methods were used for the reconstruction of camera parameters or error method through iteration. However, we proposed a method for a primitive model that uses the segment and the center of the segment for the reconstruction process. This method enables the reconstruction of the primitive model to be processed using the minimum camera parameters (e.g. focal length) during the segment reconstruction process.

Paper Details

Date Published: 25 March 2003
PDF: 11 pages
Proc. SPIE 5015, Applications of Artificial Neural Networks in Image Processing VIII, (25 March 2003); doi: 10.1117/12.477409
Show Author Affiliations
Sung-Dong Cho, Chung-Ang Univ. (South Korea)
Tae-Hong Min, INHA Technical College (South Korea)
Kyung-Hyun Yoon, Chung-Ang Univ. (South Korea)

Published in SPIE Proceedings Vol. 5015:
Applications of Artificial Neural Networks in Image Processing VIII
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

© SPIE. Terms of Use
Back to Top