Improved neural network modeling of inverse lens distortion

Jason P. de Villiers; Jaco Cronje; Fred Nicolls

doi:10.1117/12.884065

3 June 2011 Improved neural network modeling of inverse lens distortion

Jason P. de Villiers, Jaco Cronje, Fred Nicolls

Proceedings Volume 8056, Visual Information Processing XX; 80560L (2011) https://doi.org/10.1117/12.884065
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Jason P. de Villiers, Jaco Cronje, and Fred Nicolls "Improved neural network modeling of inverse lens distortion", Proc. SPIE 8056, Visual Information Processing XX, 80560L (3 June 2011); https://doi.org/10.1117/12.884065

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