Abstract
An application of an active method in order to compute highly accurate 3D localization of point features from few projections is presented. The angle of projection of the image is controlled by the system and directed to extract 3D information from the environment in a manner leading to accurate location in less computation.
This model is relevant for tomographic reconstruction and for feature based stereo.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
A.L. Abbot and N. Ahuja. Surface reconstruction by dynamic integration of focus, camera vergence and stereo. In Second International Conference on Computer Vision, pages, 1988.
B.D.O. Anderson and J.B. Moore. Optimal Filtering. Prentice Hall, 1979.
D.H. Ballard and A. Ozcandarli. Eye fixation and early vision: kinetic depth. In Second International Conference on Computer Vision, pages, 1988.
J.J. Clark and N.J. Ferrier. Modal control of an attentive vision system. In Second International Conference on Computer Vision, pages, 1988.
P. A. Ruymgaart and T. T. Soong. Mathematics of Kalman-Bucy Filtering. Springer, 1987.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hel-Or, Y., Shmuel, A., Werman, M. (1992). Active Feature Localization. In: Sood, A.K., Wechsler, H. (eds) Active Perception and Robot Vision. NATO ASI Series, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77225-2_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-77225-2_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-77227-6
Online ISBN: 978-3-642-77225-2
eBook Packages: Springer Book Archive