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This paper suggest a new camera calibration approach based on the neural network model. The proposed approach is shown to be very accurate because the neural network model implicitly contains all the physical parameters, some of which are very difficult to be estimated in the conventional explicit calibration methods. As the first step of this approach, this paper presents the camera calibration process...
This paper presents a 3D camera calibration method based on a nonlinear modeling function of an artificial neural network. The neural network employed in this paper is primarily used as a nonlinear mapper between 2D image points and points of a certain space in 3D real world. The neural network model implicitly contains all the physical parameters, some of which are very difficult to be estimated...
In this paper, a new fragile watermarking algorithm for medical images is proposed. This algorithm makes it possible to resolve the security and forgery problem of the medical images. Instead of the discrete wavelet transform, an integer wavelet transform is used to utilize hash function. The watermark associated with the hash values is inserted into the LSBs of the integer wavelet transform coefficients...
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