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In this work, we present a neural network (NN) based method designed for 3D rigid-body registration of FMRI time series, which relies on a limited number of Fourier coefficients of the images to be aligned. These coefficients, which are comprised in a small cubic neighborhood located at the first octant of a 3D Fourier space (including the DC component), are then fed into six NN during the learning...
This paper presents a new watermarking algorithm for 3D triangular mesh models that is based on surface curvature estimation and supervised learning. A feedforward backpropagation neural network is adopted for selecting vertices for watermark insertion. A variety of 3D models with varying degrees of surface curvature are used to train and simulate the neural network. An array of neural networks is...
In this paper, we investigate the ability of a radial basis function network to determine the values of the watermark to be inserted in a 3D triangulated mesh model. The challenge in a watermarking algorithm is to achieve high watermark embedding capacity without causing perceptual distortion to the model. The proposed technique overcomes this challenge. The principal, mean and Gaussian curvature...
This paper represents a study using Artificial Neural Networks (ANN) to perform automatic interpretation of lithofacies in a reservoir scale. This technique having been used successfully to interpret lithofacies automatically in the Sha20 Block, Shanian oilfield. Description and interpretation from a cored section in the key well was used to train the Supervised neural network. Having trained the...
3D caricature generation is becoming an interesting and important research program, but it is impossible for the computer to draw an elegant caricature without any background. In this paper, we build a training set which contains 110 true face photographs and corresponsive 3D caricature models. Based on that training set, the LLE manifold learning is performed to discover the low dimensional embeddings...
This paper introduces a pose invariant face recognition method with a training image and a query image using 3D morphable model and neural network. Our system uses 3D morphable model to get the reconstructed 3D face from the training image and obtains 2D image patches of facial components from the 3D face under varying head pose. The 2D image patches are used to train a neural network for pose invariant...
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