Proceedings Paper
Improved neural network modeling of inverse lens distortion| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
Inverse lens distortion modelling allows one to find the pixel in a distorted image which corresponds to a known
point in object space, such as may be produced by RADAR. This paper extends recent work using neural networks
as a compromise between processing complexity, memory usage and accuracy. The already encouraging results
are further enhanced by considering different neuron activation functions, architectures, scaling methodologies
and training techniques.
Paper Details
Date Published: 3 June 2011
PDF: 9 pages
Proc. SPIE 8056, Visual Information Processing XX, 80560L (3 June 2011); doi: 10.1117/12.884065
Published in SPIE Proceedings Vol. 8056:
Visual Information Processing XX
Zia-ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)
PDF: 9 pages
Proc. SPIE 8056, Visual Information Processing XX, 80560L (3 June 2011); doi: 10.1117/12.884065
Show Author Affiliations
Jason P. de Villiers, Council for Scientific and Industrial Research (South Africa)
Univ. of Cape Town (South Africa)
Jaco Cronje, Council for Scientific and Industrial Research (South Africa)
Univ. of Cape Town (South Africa)
Jaco Cronje, Council for Scientific and Industrial Research (South Africa)
Fred Nicolls, Univ. of Cape Town (South Africa)
Published in SPIE Proceedings Vol. 8056:
Visual Information Processing XX
Zia-ur Rahman; Stephen E. Reichenbach; Mark Allen Neifeld, Editor(s)
© SPIE. Terms of Use
