Camera Calibration Using Detection and Neural Networks (original) (raw)

2013

Abstract

ABSTRACT Several applications use robotic vision such as a robot navigating through an unknown surrounding can use vision as main navigate sensor. This paper focuses on studying camera calibration via stereo vision by means of neural network. A neurocalibration method is proposed based on the neural network ability to learn nonlinear relationship among a two and three dimension coordinate systems and also its information generalization skill. The data used to train neural network mapping are generated from a calibration grid point obtained through the use of Harris edge detection algorithm. The experimental results indicated that the neurocalibration method is feasible and efficient.

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