Share Email Print
cover

Proceedings Paper

Target localization by least squares image matching including the deconvolution of image blur
Author(s): A. Krauth; Bernhard P. Wrobel
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

For many applications in photogrammetry precise target localization is essential. Target localization by image processing is composed of several steps, from target detection to fine centering at the end of the process. The following paper describes a model for fine centering of a target based on Least Squares Image Matching (LSM). Since the image of a target has been convoluted by the image sensor LSM has to be extended by an appropriate mathematical model. Its derivation, together with practical results for fiducial marks (circles and crosses) and targets that are circular in object space, are presented.

Paper Details

Date Published: 1 March 1994
PDF: 8 pages
Proc. SPIE 2252, Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, (1 March 1994); doi: 10.1117/12.169838
Show Author Affiliations
A. Krauth, Technical Univ. Darmstadt (Germany)
Bernhard P. Wrobel, Technical Univ. Darmstadt (Germany)


Published in SPIE Proceedings Vol. 2252:
Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics
Armin Gruen; Heribert Kahmen, Editor(s)

© SPIE. Terms of Use
Back to Top