Shape reconstruction from gradient data
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 … 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.
Shape reconstruction from gradient data
Did you know?
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. 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 …
Webb1 apr. 2015 · 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 … WebbIn 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.
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. 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 …
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. …
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 … the phantom firebirdWebb1 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 … the phantom fighterWebbWe 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 … sicily power rangersWebb3D 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 … sicily pricesWebbWe 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 … the phantom fatherWebb11 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 … sicily potsWebb1 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. the phantom future