Shape reconstruction from gradient data

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Webb1 apr. 2015 · Shape Reconstruction from Gradient Data in an Arbitrarily-Shaped Aperture by Iterative Discrete Cosine Transforms in Southwell Configuration (Journal Article) OSTI.GOV OSTI.GOV Journal Article: Shape Reconstruction from Gradient Data in an Arbitrarily-Shaped Aperture by Iterative Discrete Cosine Transforms in Southwell … Webb14 apr. 2024 · The NMRI225 template should be preferred over the MNI 152 NLIN 6 th generation template for use cases where a big field-of-view with both T1w and FLAIR contrast is needed. In Fig. 5 we provide a ...

Wavefront reconstruction with the adaptive Shack–Hartmann …

Webb13 apr. 2024 · Abstract Natural and anthropogenic environmental gradients are associated with changes in species richness, ... geographic and anthropogenic factors shape the structure of bat–fruit networks in the Neotropical region. Ana Beatriz ... Data curation (equal), Investigation (equal), Methodology (equal), Project administration ... Webb20 apr. 2008 · OSTI.GOV Journal Article: Shape reconstruction from gradient data. Shape reconstruction from gradient data. Full Record; Other Related Related northern pines northern management

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Webb1 apr. 2024 · Shape reconstruction from gradient Wavefront reconstruction Splines 1. Introduction Two-dimensional integration methods [1], [2], [3], [4] are widely applied to reconstruct the height or wavefront from the measured gradient data in slope metrology, such as deflectometry [5], [6] and wavefront sensing [7], [8] etc. WebbThe shape reconstruction from gradient data is a common problem in many slope-based metrology applications. In practice, the gradient data may not be ideally available for the … Webb31 mars 2015 · Request PDF On Mar 31, 2015, Lei Huang and others published Shape reconstruction from gradient data in an arbitrarily-shaped aperture by iterative discrete cosine transforms in Southwell ... northern pines north carolina

Shape reconstruction from gradient data - Optica

Shape reconstruction based on zero-curl gradient field ... - Optica

Webb1 maj 2008 · This paper proposes a B-spline surface-based 3D reconstruction method for deflectometry, which reconstructs the surface under test with its 2-D gradient data set. … Webb25 okt. 2024 · There are two major approaches to shape reconstruction from slope data. Zonal reconstruction methods use relationships between the heights and slopes of the adjacent positions of the subaperture and estimate the shape with a least-squares method. how to run a stewardship campaignWebb2 maj 2024 · For reconstructing the shape of an object from measured depth gradient field, the most popular two kinds are FFT-based integration methods and least-squares integration methods. For the former, it is time-efficient which should be attributed to the employment of FFT algorithms. northern pine snake habitat

"Webb1 apr. 2015 · Shape reconstruction from gradient data in an arbitrarily-shaped aperture by iterative discrete cosine transforms in Southwell configuration 1. Introduction. It is an … " - Shape reconstruction from gradient data

Shape reconstruction from gradient data

WebbLeast-squares integration (LSI) and radial basis function integration (RBFI) methods are widely used to reconstruct specular surface shapes from gradient data in a deflectometry measurement. The traditional LSI method requires gradient data having a rectangular grid, and the RBFI method is effective at handling small size measurement data sets. Webbför 2 dagar sedan · We present a novel method of reconstructing the pressure fields from error-embedded pressure gradient measurement data. This method utilized Green's …

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Webb7 nov. 2013 · In this paper, an algorithm for image reconstruction from gradient data based on the Haar wavelet decomposition is proposed. The proposed algorithm has two main stages. First, the Haar decomposition of the image to be reconstructed is obtained from the given gradient data set. Then, the Haar wavelet synthesis is employed to … WebbShape reconstruction from gradient data. Svenja Ettl, 1, ∗ Jürgen Kaminski, Markus C. Knauer, and Gerd Häusler 1 1 née Lowitzsch. Abstract. We present a novel method for reconstructing the shape of an object from measured gradient data. A certain class of optical sensors does not measure the shape of an object, but its local slope.

WebbWe present a novel method for reconstructing the shape of an object from measured gradient data. A certain class of optical sensors does not measure the shape of an … Webb11 apr. 2024 · Satellite-observed chlorophyll-a (Chl-a) concentrations are key to studies of phytoplankton dynamics. However, there are gaps in remotely sensed images mainly due to cloud coverage which requires reconstruction. This study proposed a method to build a general convolutional neural network (CNN) model that can reconstruct images in …

Webb11 apr. 2024 · The ICESat-2 mission The retrieval of high resolution ground profiles is of great importance for the analysis of geomorphological processes such as flow processes (Mueting, Bookhagen, and Strecker, 2024) and serves as the basis for research on river flow gradient analysis (Scherer et al., 2024) or aboveground biomass estimation (Atmani, … Webb31 juli 2014 · Comparison of Two-Dimensional Integration Methods for Shape Reconstruction from Gradient Data (Journal Article) OSTI.GOV OSTI.GOV Journal …

Webb13 okt. 2024 · The architecture of our learned gradient descent network for single-view 3D reconstruction. (a) The network takes a single RGB image of an object as input. (b) The 3D shape of the object is updated iteratively using learned gradient descent. (c) The final 3D shape is reconstructed after N iterations. Full size image 3 Method

WebbWe present a novel method for reconstructing the shape of an object from measured gradient data. A certain class of optical sensors does not measure the shape of an object, but its local slope. These sensors display several advantages, including high information efficiency, sensitivity, and robustness. northern pines mobile home park ballston spaWebbTerahertz (THz) computed tomography is an emerging nondestructive and non-ionizing imaging method. Most THz reconstruction methods rely on the Radon transform, originating from x-ray imaging, in which x rays propagate in straight lines. However, a THz beam has a finite width, and ignoring its shape results in blurred reconstructed images. … northern pine snake rangeWebb1 jan. 2015 · When reconstructing a discrete representation of shape which has the most-similar gradient values with the measured ones, there is an implied assumption that all of the ignored higher order terms (no matter in what kind of forms, e.g. polynomials, Fourier cosine series, etc .) are really negligible. northern pine snake careWebb1 jan. 2007 · Fast and robust 3D shape reconstruction from gradient data January 2007 Authors: S Ettl J Kaminski E Olesch H Strauß Abstract and Figures Sensors based on deflectometry measure the local slope of... northern pine snakes for saleWebbför 2 dagar sedan · We present a novel method of reconstructing the pressure fields from error-embedded pressure gradient measurement data. This method utilized Green's function of the Laplacian operator as the convolution kernel that relates pressure to pressure gradient. A compatibility condition on the boundary offers equations to solve … northern pines nlWebb1 jan. 2015 · As a requisite and key step in some gradient-based measurement techniques, the reconstruction of the shape, more generally the scalar potential, from the measured … northern pine snake range mapWebbIn the modern engineering field, recovering the machined surface topography is important for studying mechanical product function and surface characteristics by using the shape from shading (SFS)-based reconstruction method. However, due to the limitations of many constraints and oversmoothing, the existing SFS-based reconstruction methods are not … northern pines north bay