Shape reconstruction from gradient data

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Webb1 aug. 2016 · Least-squares method for data reconstruction from gradient data in deflectometry Least-squares method for data reconstruction from gradient data in deflectometry Appl Opt. 2016 Aug 1;55 (22):6052-9. doi: 10.1364/AO.55.006052. Authors Hongyu Ren , Feng Gao , Xiangqian Jiang PMID: 27505388 DOI: 10.1364/AO.55.006052

Spline based least squares integration for two-dimensional shape …

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 … Webb2 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 … data table website

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Webb1 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 … WebbIn 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 … Webb1 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 gradient data has been studied for many years. In this work, three types of two-dimensional integration methods are compared under various conditions. datatable warning table id ajax error

Shape reconstruction from gradient data - NASA/ADS

Fast and robust 3D shape reconstruction from gradient data

Webb31 juli 2014 · Comparison of Two-Dimensional Integration Methods for Shape Reconstruction from Gradient Data (Journal Article) OSTI.GOV OSTI.GOV Journal … Webb28 feb. 2024 · An Accurate Fourier-Based Method for Three-Dimensional Reconstruction of Transparent Surfaces in the Shape-From-Polarization Method Abstract: The Fourier-based gradient field integration method can efficiently reconstruct transparent surfaces from the measured gradient data in the Shape-from-polarization method. datatable width 100%Webb20 apr. 2008 · We present a generalized method for reconstructing the shape of an object from measured gradient data. A certain class of optical sensors does not measure the … data table what if excel

"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 ... " - Shape reconstruction from gradient data

Shape reconstruction from gradient data

Webb31 jan. 2015 · Reconstruction Comparison of two-dimensional integration methods for shape reconstruction from gradient data Authors: Lei HUANG Brookhaven National … Webb1 jan. 2015 · Harker, M., O’Leary, P. Least squares surface reconstruction from gradients: Direct algebraic methods with spectral, tikhonov, and constrained regularization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. ISBN 978-1-4577-0394-2; 2011, p. 2529-2536. doi:10.1109/CVPR. 2011.5995427.

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Webb17 jan. 2005 · We use a simulated wavefront to compare the two reconstruction methods. The slope of all subapertures is calculated by integrating the gradient of the wavefront function over one microlens (in our case 64 × 64 pixels). The slope values are saved and used for all reconstruction calculations. 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, …

Webb1 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 … 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

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. … 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 …

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 …

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 … data table website templatesWebbWe present a generalized 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 … bitter root pottery los angelesWebb20 apr. 2008 · OSTI.GOV Journal Article: Shape reconstruction from gradient data. Shape reconstruction from gradient data. Full Record; Other Related Related data table what if analysisWebbShape 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. datatable warning ajax errorWebbThe 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 … bitterroot properties for saleWebb3D shape reconstruction typically requires identifying object features or textures in multiple images of a subject. This approach is not viable when the subject is semi-transparent and moving in and out of focus. Here we overcome these challenges by rendering a candidate shape with adaptive blurring and transparency for comparison with the images. We use … datatable whileWebb11 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 … datatable using bootstrap