Shape reconstruction from gradient data
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 … Webb20 apr. 2008 · OSTI.GOV Journal Article: Shape reconstruction from gradient data. Shape reconstruction from gradient data. Full Record; Other Related Related
Shape reconstruction from gradient data
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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 … 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.
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. …
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. 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, …
WebbAs a requisite and key step in some gradient-based measurement techniques, the reconstruction of the shape, more generally the scalar potential, from the measured …
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 date in the middle of the yearWebbWe 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 … date in the middle of a sentenceWebbShape 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. date in the metaverseWebb2 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. biweekly pay calendar 2020 fridayWebb11 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 … biweekly paycheck 50k a yearWebbWe 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. date in the parkWebb7 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 … date in the philippines