Depth image based rendering (DIBR) is the process of synthesizing new “virtual” views from a set of “real” views which include color and depth images. Because of its photorealism and less stringent computational requirement, DIBR has many applications such as 3D TV, remote reality, and video conferencing, and has become one of the hot research areas in visual computing in recent years. Since th...

A wavelet based model for propagation of optical pulses in nonlinear media is presented. We obtain an O(N) algorithm for linear propagation by replacing the wavelet-domain propagation operator by its Taylor series approximation. Nonlinear propagation is then achieved by adding the nonlinear term in mid-step in a method analogous to the split-step Fourier method. Using wavelets ooers the advanta...

In contrast to X-rays, ultrasound propagates along a curved path due to spatial variations in the refraction index of the medium. Thus, for ultrasonic TOF tomography, the propagation path of the ultrasound must be known to correctly reconstruct the slice image. In this paper, we propose a new path determination algorithm, which is essentially a numerical solution of the eikonal equation viewed ...

The two well known learning algorithms of recurrent neural networks are the back-propagation (Rumelhart & el al., Werbos) and the forward propagation (Williams and Zipser). The main drawback of back-propagation is its off-line backward path in time for error cumulation. This violates the on-line requirement in many practical applications. Although the forward propagation algorithm can be used i...

Disturbances in large-scale industrial systems can easily propagate through the process units and thereby adversely affect the overall process performance. In particular, oscillations in control loops are very common in industrial processes and lead to poor control performance, an excessive energy consumption and deteriorate the product quality. Identifying the propagation path of oscillations ...

this paper presents a comparison study between the multilayer perceptron (mlp) and radial basis function (rbf) neural networks with supervised learning and back propagation algorithm to track hand gestures. both networks have two output classes which are hand and face. skin is detected by a regional based algorithm in the image, and then networks are applied on video sequences frame by frame in...

consecutive droughts in sistan and baloochestan province cause water resources restriction and this isa very significant problem for this region. in this study, in order to forecast the drought cycle in 9climatological stations in the province, we used artificial neural networks. the input data wereaverage of annual rainfall data in all stations and also deciles precipitation index, which the f...

Recently, the fingerprint-based wireless local area network (WLAN) positioning has gained significant interest. A probability distribution-aided indoor positioning algorithm based on the affinity propagation clustering is proposed. Different from the conventional fingerprint-based WLAN positioning algorithms, the paper first utilizes the affinity propagation clustering to minimize the searching...

In this study a hybrid differential evolution-back-propagation algorithm to optimize the weights of feedforward neural network is proposed.The hybrid algorithm can achieve faster convergence speed with higher accuracy. The proposed hybrid algorithm combining differential evolution (DE) and back-propagation (BP) algorithm is referred to as DE-BP algorithm to train the weights of the feed-forward...