Improved neural network modeling of inverse lens distortion

被引：0
|
作者：
de Villiers, Jason P. [1 ,2 ]
Cronje, Jaco [1 ]
Nicolls, Fred [2 ]
机构：
[1] CSIR, Pretoria, South Africa
[2] Univ Cape Town, Cape Town, South Africa
来源：
VISUAL INFORMATION PROCESSING XX | 2011年 / 8056卷
关键词：
Neural network; lens distortion; inverse distortion distortion corrections;
D O I：
10.1117/12.884065
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：9
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