Results 91 to 100 of about 66,673 (199)
Abstract Provably Good Moving Least Squares [PDF]
, 2008 We analyze a moving least squares algorithm for reconstructing a surface from point cloud data. Our algorithm defines an implicit function I whose zero set U is the reconstructed surface.
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IEEE AccessIn this study, we develop a numerical method to represent turbulent flow in various 2D vector fields using the Monte Carlo method-based MLS (Moving Least Squares) from a density field and express it as a learning representation through a neural network ...
Jong-Hyun Kim, Jung Lee
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Depth Estimation for Autonomous Robot Navigation: A Comparative Approach [PDF]
Depth estimation has long been a fundamental problem both in robotics science and in computer vision. Various methods have been developed and implemented in a large number of applications.
Diamantas, Sotirios +2 more
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The Process of Generating Single Large Combined Cloud for Grid-Free Solvers [PDF]
, 2013 Dealing with moving body problems, where one component moves relatively with respect to other, is a difficult task in CFD due to the efforts needed in grid handling for every delta change in position of the moving component.
Ramesh, V +2 more
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Applied SciencesAccurately determining the attitude of non-cooperative spacecraft in on-orbit servicing (OOS) has posed a challenge in recent years. In point cloud-based spatial non-cooperative target attitude estimation schemes, high-precision point clouds, which are ...
Youzhi Li +5 more
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Effective fault detection in structural health monitoring systems
Advances in Mechanical Engineering, 2019 A new fault detection technique is considered in this article. It is based on kernel partial least squares, exponentially weighted moving average, and generalized likelihood ratio test.
Marwa Chaabane +5 more
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Approximate moving least-squares approximation with compactly supported weights [PDF]
, 2002 . We propose a fast and accurate approximation method for large sets of multivariate data using radial functions. In the traditional radial basis function approach this task is usually accomplished by solving a large system of linear equations stemming ...
Gregory E. Fasshauer
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BuildingsBased on the first-order shear deformation theory (FSDT) and moving least-squares approximation (MLS), a new meshfree method that considers the effects of geometric nonlinearity and the pre- and post-buckling behaviors of curved beams is proposed.
Yuxiao Li +3 more
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An improved moving least squares method for the Material Point Method [PDF]
, 2019 The paper presents an improved moving least squares reconstruction technique for the Material Point Method. The moving least squares reconstruction (MLS) can improve spatial accuracy in simulations involving large deformations. However, the MLS algorithm
Tran, Quoc +2 more
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Journal of Applied Science and EngineeringThis article primarily investigates the identification problem for two-input one-output nonlinear controlled autoregressive moving average system. Drawing from the auxiliary model identification idea and the key-term separation technique, this article ...
Fang Qiu, Yan Ji
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