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The current paper addresses the problem of object identification from multiple 3D partial views, collected from different view angles with the objective of disambiguating between similar objects. We assume a mobile robot equipped with a depth sensor that autonomously grasps an object from different positions, with no previous known pattern. The challenge is to efficiently combine the set of observations...
Nonlinear PDEs (partial differential equations) offer a convenient formal framework for image regularization and are at the origin of several efficient algorithms. In this paper, we present a new approach which is based (i) on a set of half Gaussian kernel filters, and (ii) a nonlinear anisotropic PDE diffusion. On one hand, half Gaussian kernels provide oriented filters whose flexibility enables...
When tracking an extended object, traditional approaches exploit information only from measurements that are assumed to stem from the target, and discard observations assumed to have been generated elsewhere. However, the fact that these observations were received contains valuable information about where the target is not. This information, which is usually treated as clutter with little value, can...
Least squares support vector machine (LS-SVM) has been successfully applied in many classification and regression tasks. The main drawback of the LS-SVM algorithm is the lack of sparseness. Combing the primal least squares twin support vector machine (LS-TSVM) and the sparse LS-SVM with L0-norm minimization, a new sparse least squares support vector regression algorithm with L0-norm in primal space(L...
To print ceaseless tone images, Electrophotographic printers mostly use halftoning method. Scanned pictures procured from such hard transcripts are generally wrecked by screen like antiquities. Recently an approach for reviving relentless image from scanned halftone picture was accomplished. This new model considers both printing deformities and halftone motifs. At first denoising computation is proposed...
The paper presents an informational technology for improving the reliability of nonlinear dynamic objects fault diagnosing using model-based diagnostics method of nonparametric identification. Diagnostic models build on the base of Volterra kernels moments. The efficiency of the proposed diagnostic models analyzes on an nonlinear dynamic objects simulation model.
The Teager-Kaiser energy operator (TKO) belongs to a class of autocorrelators and their linear combination that can track the instantaneous energy of a nonstationary sinusoidal signal source. TKO-based monocomponent AM-FM demodulation algorithms work under the basic assumption that the operator outputs are always positive. In the absence of noise, this is assured for pure sinusoidal inputs and the...
The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images. The major disadvantage of square pixel shapes is the inability to accurately capture and display the details in the objects having variable orientations to edges, shapes and regions. This effect can be observed by the inaccurate...
The normalized least mean pth power (NLMP) algorithm based on adaptive Volterra filters has conflicting requirement of fast convergence rate and low steady-state error. To address this problem, a novel combination of two NLMP (CNLMP) algorithms is proposed which adaptively combines two independent NLMP filters with large and small step sizes to obtain fast convergence rate and low misadjustment in...
Correntropy has been successfully applied in non-Gaussian signal processing, but the superior performance achieved is depends on appropriate selection of the kernel width. How to select a proper kernel width is a crucial problem in correntropy applications. In this paper, we propose an adaptive algorithm to update the kernel width, which is set at a maximum between the absolute value of instantaneous...
An electrocardiogram (ECG) signal noise caused by different source e.g. power line interference (PLI), muscle and motion artifacts etc. Eliminating signal noise from ECG signal will increase the accuracy in diagnosis disease. In this paper, we propose sinusoid kernel function on Gaussian process (GP) to eliminate power line interference (50Hz or 60Hz) for electrocardiogram (ECG) signal. Expressing...
In this paper, we proposed a region-based approach for indoor localization based on the fingerprint of radio signal strength (RSS). Unlike conventional fingerprint-based methods that based on point information to infer user's location, we used region information for indoor localization. Our results show that the proposed system has better positioning accuracy and more robustness to signal noise and...
Autonomous UAVs need on-board vision system to be able to navigate, avoid collisions, and execute missions. Small UAVs can carry small form factor vision system with low power consumption due to natural payload limitations. Therefore it is a natural idea to use cellular sensor-processor arrays to implement the necessary vision functions. In this paper, we present a UAV collision warning algorithm...
Given noisy samples of a signal, the problem of testing whether the signal belongs to a given parametric class of signals is considered. We examine the nonparametric situation as for a well-defined null hypothesis signal model we admit broad alternative signal classes that cannot be parametrized. For such a setup, we introduce testing procedures relying on nonparametric kernel-type sampling reconstruction...
Earth has plethora of geographical features, each having different surface properties. These different properties are reflected in the images captured in various frequencies by several satellites. Synthetic Aperture Radar captures such an image into microwave frequency. Such an image is inherited by speckle noise. This paper evaluates performance of traditional filters to remove speckle noise as a...
Underwater image segmentation is a key step for the analysis of the underwater target as segmentation quality will directly affect the stability and reliability of target recognition and tracking. A novel segmentation method is proposed in this paper that can help to solve the edge expansion and contour deformation problems in traditional segmentation methods. Firstly, the dark channel prior algorithm...
A spatially constrained kernel fuzzy C-means (SCKFCM) algorithm is represented for polarimetric SAR (PolSAR) remote sensing image segmentation in this paper. Compared with classic fuzzy C-means (FCM) algorithm, kernel method could perform the nonlinear mapping from the original space to kernel space. Thus, SCKFCM is not impacted by the remote sensing image data distribution. Furthermore, in order...
The array output for a distributed source can be approximated by the superposition of the array response to a large number of closely spaced point sources. In the limit, a distributed source corresponds to an infinite number of point sources. In this approximation, the number of free parameters increases with the number of point sources. In this paper, we show that if the point sources (approximation...
In this paper we describe a novel method for finding non-negative solutions to linear inverse problems. Such problems include image reconstruction where one is required to deconvolve a known point spread function from the image to produce a clearer image. The method described here is related to the truncated singular function expansion for solving linear inverse problems. The method consists of choosing...
The development of an application of speech processing in a car environment is addressed. The main objective is to provide the user of a vehicular phone with a powerful and friendly bidirectional vocal interface. In particular, the paper focusses on the speech recogniser component of the interface as it was specifically designed and tuned to operate in the very hostile acoustic environment of a moving...
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