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A high dimensional shape space is formed by the continuous shape sequence sub space, and the deformation between these shape profiles can be expressed as a linear combination of the low dimensional sub shape space. In order to meet the demand of quantitative description and analysis of shape sequence deformation, Firstly, we proposed a deformation factor of shape sequence based on graphics regularization...
Identification of the correct medicinal plants that goes in to the preparation of a medicine is very important in ayurvedic medicinal industry. The main features required to identify a medicinal plant is its leaf shape, colour and texture. Colour and texture from both sides of the leaf contain deterministic parameters to identify the species. This paper explores feature vectors from both the front...
An open question in facial landmark localization in video is whether one should perform tracking or tracking-by-detection (i.e. face alignment). Tracking produces fittings of high accuracy but is prone to drifting. Tracking-by-detection is drift-free but results in low accuracy fittings. To provide a solution to this problem, we describe the very first, to the best of our knowledge, synergistic approach...
3D face reconstruction is a fundamental Computer Vision problem of extraordinary difficulty. Current systems often assume the availability of multiple facial images (sometimes from the same subject) as input, and must address a number of methodological challenges such as establishing dense correspondences across large facial poses, expressions, and non-uniform illumination. In general these methods...
This survey highlights issues in clustering which hinder in achieving optimal solution or generates inconsistent outputs. We called such malignancies as dark patches. We focus on the issues relating to clustering rather than concepts and techniques of clustering. For better insight into the issues of clustering, we categorize dark patches into three classes and then compare various clustering methods...
This paper presents the optimization scheme to improve the interruption performance of a gas circuit breaker, which must carry out the interruption duty within specific arcing time for successful operation. The systematic process of design optimization was proposed by using the Bezier curve and sequential approximation technique for satisfying both medium and maximum arcing time. Depending on the...
Notch antenna is constructed by slotting an edge of rectangular patch placed on a substrate over ground plane. Analysis of the notch antenna is complicated and very difficult due to having non-uniform shape. In this work, a novel formulation is proposed for calculating the resonant frequency of the notch antennas. The formulation regarding the resonant length of the antenna reflecting the impact of...
Motor drive operation mechanism of High-Voltage Circuit Breaker(HVCB) need permanent magnet synchronous motor(PMSM) with high-dynamic response. Reducing the rotor inertia of PMSM is one technique to realize high dynamic response of the motor. By digging holes in the rotor, the inertia can be reduced. The influence of shape, position and size of inertia-reducing holes on the performance of PMSM is...
This work focuses on the design improvement of a tri-axial piezoresistive accelerometer specifically designed for head injuries monitoring where medium-G impacts are common, for example in sports such as racing cars. The device requires the highest sensitivity achievable with a single proof mass approach, and a very low error as the accuracy for these types of applications is paramount. The optimization...
The objective in this paper is the introduction of a new method in the design of high voltage insulators by exploiting a meta-heuristic optimization. Indeed, a neural network is used for the prediction of the value of the tangential electric field at the high voltage pin (the area where the value of the electric field is maximum), which will then serve as an objective function to be minimized by the...
Recently a number of evolutionary multiobjective optimization algorithms have been proposed in the framework of MOEA/D (Multi-Objective Evolutionary Algorithm based on Decomposition). A multiobjective problem is decomposed into multiple single-objective problems using a set of weight vectors in MOEA/D. The number of single-objective problems is the same as the number of weight vectors, which is also...
The diamond ring resonator is recognized as a potential quantum photonic device with varieties of applications. The properties of a ring resonator largely depend on the shape parameters. Designing the shape, however, is difficult without closed-form expression and requires complex simulation. Ordinal optimization is useful for solving simulation-based optimization problems like this. In this paper,...
Estimating surface reflectance (BRDF) is one key component for complete 3D scene capture, with wide applications in virtual reality, augmented reality, and human computer interaction. Prior work is either limited to controlled environments (e.g., gonioreflectometers, light stages, or multi-camera domes), or requires the joint optimization of shape, illumination, and reflectance, which is often computationally...
We present a new point set registration method with global-local correspondence and transformation estimation (GL-CATE). The geometric structures of point sets are exploited by combining the global feature, the point-to-point Euclidean distance, with the local feature, the shape distance (SD) which is based on the histograms generated by an elliptical Gaussian soft count strategy. By using a bidirectional...
Interestingly, shape of the high-altitude clouds serves as a beacon for weather forecasting, so its detection is of vital importance. Besides these clouds often cause hindrance in an endeavor of satellites to inspect our world. Even thin clouds produce the undesired superposition of visual information, whose decomposition into the clear background and cloudy layer using a single satellite image is...
We present a robust algorithm for personalizing a spheremesh tracking model to a user from a collection of depth measurements. Our core contribution is to demonstrate how simple geometric reasoning can be exploited to build a shape-space, and how its performance is comparable to shape-spaces constructed from datasets of carefully calibrated models. We achieve this goal by first reparameterizing the...
Modelling of a database performance depending on numerous factors is the first step towards its optimization. The linear regression model with optional parameters was created. Regression equation coefficients are optimized with the Flower Pollination metaheuristic algorithm. The algorithm is executed with numerous possible execution parameter combinations and results are discussed. Potential obstacles...
This paper presents a nondestructive method of brick wall dampness testing in real building structures. The setup was used to determine the moisture of test brick walls on the specially built laboratory models. The topological method and the gradient technique are used to optimization approach. The level set function was used to solve the inverse problem in the electrical impedance tomography. The...
Electrical impedance tomography (EIT) reconstructs the conductivity distribution of a domain using electrical data on its boundary. Shape derivatives and topological derivatives have been incorporated into level set methods to investigate shape optimization problems. The shape derivative measures the sensitivity of boundary perturbations while the topological derivative measures the sensitivity of...
Subharmonic aided pressure estimation (SHAPE) uses ultrasound contrast agents (UCAs) to estimate hydrostatic pressure by transmitting at one frequency, receiving at its subharmonic frequency and then monitoring the subharmonic amplitude variations. The subharmonic response of the UCAs has an inverse linear relationship with the ambient pressure. In order to optimize SHAPE, we studied the impact of...
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