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Introduction: To improve the performance of electromagnetic (EM) devices in the process of designing new products, geometric sizing or shape optimization is very important in practice. In the optimization process, because there are frequent variations in the design parameters, the computational mesh has to be generated repeatedly before one can proceed to the finite element (FE) computation. Thus...
Detecting infrared pedestrian in outdoor smart video surveillance is always a challenging and difficult problem. Although there have been many methods based on histograms of oriented gradients (HOG) to solve this problem, they would probably fail because of shelter and poor quality of image. To overcome this problem, we propose a robust feature to describe pedestrian which is called entropy-edge weighted...
This paper presents efficient object tracking in video sequences using multiple features by embedding mean shift into particle filters. When clutter background and occlusions are present. Particle filtering is used because it is very robust and performs well for non-linear and non-Gaussian dynamic state estimation problems. The image features, such as shape, texture, color, contours, and random motion...
Security issues are important concerns of image hashing. A type of image hashing needs to randomly divide a given image into several parts, usually rectangles. However, the security problem arises due to the rectangular shapes. So, we propose a new method which enhances the randomness by dividing the image into zigzag blocks with random walk. Security analyses are provided, and experiments show our...
To meet the requirements of contouring accuracy, multi-axis coordination, and high productivity in the fields of machining tools, many researchers devote to exploring various strategies in terms of controller design, coordinate frame construction, and trajectory planning for high-performance multi-axis motion. In this paper, a generalized global task coordinate frame (GTCF) is constructed for complicated...
This work introduces a novel feature detection algorithm for the decoding of a binary encoded structured light pattern. To make the structure light pattern insensitive to surface color and texture, some geometrical shapes are used as the pattern elements. Grid-point between each two adjacent rhombic pattern element is defined as the feature points. Affected by the inner structure of pattern element,...
In this paper, we propose a novel approach to track elongated, curved extended targets by representing their shapes with splines. Elongated shapes are forms whose length is much larger than their width, and can be found in many places, such as in connected vehicles like trains, in group targets like a caravan moving along a curved street, or even when estimating the pose of a person. A particular...
The traditional affine iterative closest point (ICP) algorithm is fast and accuracy for affine registration of point sets, but it performs worse when the point sets with large outliers. This paper introduces a novel algorithm based on correntropy for affine registration of point sets with outliers. First, a novel objective function is proposed by introducing the maximum correntropy criterion (MCC)...
New aisle designs have been proposed for unit-load warehouses recently in the literature. Most of these designs propose reduction in single-command expected travel distance considering flow from only one input/output (IO) point which is centrally located on the bottom of warehouse. Therefore, in this study we investigate the effects of varying number of IO points on both the layout and the distance...
Owing to their universal approximation capability and online learning manner, kernel adaptive filters have been widely used in nonlinear systems modeling. Under Gaussian assumption, traditional kernel adaptive algorithms utilize the well-known mean square error(MSE) as a cost function to get optimal solutions. For non-Gaussian situations, MSE will not properly represent the statistics of the error,...
Indirect immunofluorescence (IIF) imaging is an important technique for detecting antinuclear antibodies in HEp-2 cells and therefore employed in the diagnosis of autoimmune diseases and other important pathological conditions involving the immune system. HEp-2 cells are often categorised into six groups (homogeneous, fine speckled, coarse speckled, nucleolar, cytoplasmic, and centromere cells), which...
Radon transform is robust to noise, and its performance is independent on the calculation of pattern centroid. Based on these facts, Radon transform is employed to extract invariant features in this paper. Radon functional integral transform is proposed, and Radon functional integral descriptors are constructed. It is proved that these descriptors are invariants to translation, scaling and rotation...
We develop a data-driven real-time test for controllers' ability to meet given McFarlane-Glover loop-shape specifications. The proposed test provides a data-driven diagnosis for robustness of controllers by detecting controllers proven to fail to meet loop-shape specifications. The test has an important property that many controllers (not necessarily active ones) can be simultaneously tested in real-time...
Projective distortion remains an open problem for image stitching. This paper proposed a novel weight-based shape-optimizing warping framework, which combines a projective transformation and a similarity transformation so as to reduce the projective distortion. This method aligned images with the projective transformation, and optimized images' shape under the constraint condition of similarity transformation...
This research aims to enhance the directivity of two-dimensional photonic crystal slab, the results of research will be applied toward the display technology of multi-view angle.
In this paper, we propose a vision-based traffic light and arrow detection algorithm for intelligent vehicles. We detect all three traffic light colours along with the arrow direction robustly for varying illuminations and traffic lights. A fine-tuned convolutional neural network is used in an offline phase to localise the traffic light region-of-interest within a given camera image. Given the constrained...
This paper presents an implicit segmentation approach based upon ideas from morse theory and curvature information. The main contribution consists in partitioning 3D shapes based on Shape-Diameter Function (SDF) which is considered as a continuous scalar function defined on the mesh vertices. The segmentation process is performed according to the values of scalar function associated with each vertex...
Organizing shapes by convex parts is a fundamental procedure for many shape-related applications. However, convexity is sensitive to noise and shape variations. Recent publications in the field concentrated on decomposing shapes into near-convex parts. Although a variety of methods have been presented, there is still a need for a robust and versatile method, especially when a shape possesses long...
The HED 2-Shock implosion campaign was developed on the National Ignition Facility as a relatively robust and well-beha ved nearly one-dimensional, low convergence, symmetric platform by employing a very high foot temperature and a large case-to-capsule (hohlraum-to-capsule) ratio. The results of these experiments investigating capsule implosion phenomena such as interface hydrodynamic mixing, convergence...
This paper introduces a robust filtered-x NLMS algorithm with high performance which is designed for active control of impulsive noise system. High performance of the proposed algorithm is realized by obtaining the optimal step size of the filtered-x NLMS algorithm. The optimal step size is developed by analyzing the mean square deviation of filtered-x NLMS algorithm. The optimal step size is applied...
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