3 June 2011 Improved neural network modeling of inverse lens distortion
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jason P. de Villiers, Jason P. de Villiers, Jaco Cronje, Jaco Cronje, Fred Nicolls, Fred Nicolls, } "Improved neural network modeling of inverse lens distortion", Proc. SPIE 8056, Visual Information Processing XX, 80560L (3 June 2011); doi: 10.1117/12.884065; https://doi.org/10.1117/12.884065
PROCEEDINGS
9 PAGES


SHARE
RELATED CONTENT


Back to Top