The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The rise in global temperature accelerates the melting of the ice sheets. This highlights the importance of understanding the ice sheet structure and dynamics. Although fundamental for a reliable 3D modeling of the ice subsurface, the development of automatic techniques for the integration of multisensor data acquired over the ice sheets is still very limited. To address this issue, in this paper...
Interpolation array approach based on Taylor series fitting for arbitrary geometry array is developed in this paper. As the steering vector is a function of direction-of-arrival (DOA), Taylor series fitting for the steering vector is conducted within an angle range, and the steering matrix is decomposed into a coefficient matrix multiplying by a Vandermonde structure vector bearing the DOA information...
Daily trip distance and end time of the last trip are two essential variables for home based electric vehicle (HBEV) charging load model. A non-parametric Gaussian kernel density estimation method is proposed to build the probability density distributions of these two variables. This method can improve the precision and adaptability of the distributions compared with parametric estimation. A Latin...
Very High Resolution (VHR) multitemporal images show a residual misalignment even after applying effective state of the art co-registration. This residual misalignment is caused by the dissimilarities of the acquisition circumstances such as off-nadir angle of the sensor, stability of the acquisition platform, structure of the considered scene, and so on. This paper aims at mitigating the residual...
Target localization using AOA measurements has attracted substantial attention for several decades. Traditional algorithms regard the target position as a non-random parameter and employ estimators like least squares (LS) or maximum likelihood (ML) to estimate the target location. In this paper, we propose a new framework for target localization using AOA measurements. The idea of this framework is...
In the recent years there has been an effort for the wireless systems to become more efficient in terms of power consumption and coverage planning. One aspect of this effort was the proposal of using spatial estimation approaches, that exploit the spatial correlation of the shadowing and received power, to improve propagation prediction. In this demonstration, we present a software tool that implements...
For depth-from-stereo vision applications such as driving assistance and object-size estimation, the accuracy of disparity estimation determines the precision of depth measurement. Conventional dense methods are hard to estimate disparity within a 0.1 pixel precision. In this paper, we present a novel object-based method to achieve robust and deep sub-pixel accurate disparity estimation. In our experimental...
Among the many parameters of human life, which are subject to intensive monitoring, one can specify the frequency of of respiratory action. The measurement of such physical quantity can be performed directly by tracking the activity of the respiratory organs, as well as indirectly through the breathing frequency estimation based on the ECG signal. This paper presents a method to assess the respiratory...
To extract a tubular object boundary from a volumetric image is important to compute its morphometric properties, like the estimation of the boundary curvature, or the radius of a tubular object, for example, the radius is one of the descriptions of blood vessel for detecting the soft plaque. How to estimate the gradient of the volumetric data has an influence on the computation results of the morphometric...
Optical flow or dense motion field representations provide an alternative to block based schemes and are capable of describing smooth motion flows without introducing any artificial block boundaries. However dense motion fields have not been widely adopted for video coding applications principally due to the prohibitive cost of communicating such detailed motion representations. In this paper our...
We present a bidirectional, occlusion-aware temporal frame interpolation (BOA-TFI) scheme that builds upon our recently proposed highly scalable video coding scheme. Unlike previous TFI methods, our scheme attempts to put “correct” information in problematic regions around moving objects. From a “parent” motion field between two existing reference frames, we compose motion from both reference frames...
In this paper we discuss non-parametric estimation of the probability density function (PDF) of a univariate random variable. This problem has been the subject of a vast amount of scientific literature in many domains: while statisticians are mainly interested in the analysis of the properties of proposed estimators, engineers treat the histogram as a ready-to-use tool for dataset analysis. By considering...
Hermite splines are commonly used for interpolating data when samples of the derivative are available, in a scheme called Hermite interpolation. Assuming a suitable statistical model, we demonstrate that this method is actually optimal for reconstructing random signals in Papoulis' generalized sampling framework. We focus on second-order Lévy processes — the integrated version of Lévy processes —...
The generation of three-dimensional (3D) videos from monoscopic two-dimensional (2D) videos has received a lot of attention in the last few years. Current conversion techniques are based on generating an estimated depth map for each frame from different depth cues, and then using Depth Image Based Rendering (DIBR) to synthesize the additional views. Efficient interactive techniques have been developed...
This paper proposes a method to estimate coefficients for blocking artifact reduction at low bit rate. Across-resolution coherence that low and high resolution image are similar is introduced to preserve signal continuity. Non-local similarity is used to provide samples for estimation by searching similar blocks of reference block. We have two sources of estimation. One source is exploiting non-local...
In this paper, we propose a novel modeling method for linear parameter-varying systems. First, a set of frequency-domain data samples of the system transfer function is computed for fixed values of the scheduling parameters. Then, a system identification step is performed to generate a set of rational models called root macromodels. Finally, a linear parameter-varying model is built by means of interpolation...
Digital elevation Model is analysis of stereo data for extraction of elevation information of particular area. Different applications need different accuracy level from DEM. The accuracy of DEM depends upon various important parameters viz. Image quality, type of surface, Interpolation Method etc. Interpolation is prediction of unknown point elevation from known data points. Interpolation is used...
The paper describes algorithms of the nonparametric power estimation by summation of the products of the amplitude discrete Fourier transform (DFT) coefficients when simultaneously of sampling is assumed. As with energy-based approach for the amplitude square estimation of the one-channel signal, the apparent power in the two-channel case can be estimated with the multiplied amplitude DFT coefficients...
Range splitting algorithms are used in radar signal processing to accurately estimate the range of a detected target by “splitting” the range bin and estimating where within the range bin the target is located. This paper presents a computationally-efficient range estimation algorithm that is empirically proven to achieve the Cramer-Rao lower bound (CRLB), while incuring minimal computational complexity...
A new nonlinear method for the compensation of temporal brightness variations (commonly referred to as flicker) in archived film sequences is presented. The proposed method1 is motivated by fundamental principles of photographic image registration and provides a substantial level of adaptation to temporal but also spatial variations of picture brightness. Our approach is driven by segmentation of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.