Shape reconstruction from gradient data

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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 ... 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.

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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 1. Introduction. It is 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 … slow smoking chicken

Spline based least squares integration for two-dimensional shape …

WebbWe 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 … 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. 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 integration methods. For the former, it is time-efficient which should be attributed to the employment of FFT algorithms. slow smoked turkey breast

Least-squares method for data reconstruction from gradient data …

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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 … Webb17 juni 2015 · Reconstructing the signal from the gradient domain is a required step in applications based on gradient manipulations, such as high dynamic range … slow sniperWebb1 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... slow snail game

"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. " - Shape reconstruction from gradient data

Shape reconstruction from gradient data

Recovering Depth Map from Enhanced Image Gradients

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. WebbTerahertz (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. …

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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 … Webb3D 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 …

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 … WebbKD-GAN: Data Limited Image Generation via Knowledge Distillation ... JacobiNeRF: NeRF Shaping with Mutual Information Gradients ... Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction Ryo Kawahara · Meng-Yu Kuo · Shohei Nobuhara The Differentiable Lens: ...

Webb20 apr. 2008 · OSTI.GOV Journal Article: Shape reconstruction from gradient data. Shape reconstruction from gradient data. Full Record; Other Related Related 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 · 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, …

Webb29 dec. 2024 · Surface reconstruction for micro-samples with large discontinuities using digital holography is a challenge. To overcome this problem, multi-incidence digital holographic profilometry (MIDHP) has been proposed. MIDHP relies on the numerical generation of the longitudinal scanning function (LSF) for reconstructing the topography … slow snail gifWebbIn 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 produce the image. slow smoked turkey on traegerWebb1 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. slow smooth easy effortless golf swingWebb31 juli 2014 · Comparison of Two-Dimensional Integration Methods for Shape Reconstruction from Gradient Data (Journal Article) OSTI.GOV OSTI.GOV Journal … slow smoked tri tip traegerWebb20 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 … sogc echogenic focusWebb25 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. slow smooth smooth fast quoteWebb1 jan. 2007 · 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 … slow smoked turkey