Fast and robust shape diameter function
as very simple and fast algorithms, allowing greater in- teractivity and ease Jan 8, 2008 The local shape diameter function (SDF) provides a link from the surface of the mesh to its volume. The second term in (3) accounts for variations in the local density field, ρ41. 2010], PCA-based descriptors [Kalogerakis et al. Shape Estimation from Support and Diameter Functions. 2011], and wave kernel signatures. Compact FPGA hardware architecture for public key encryption in embedded devices. both the angular distance and the shape diameter function. 2014]. Vis. The array has a diameter of 120mm to limit the. . Fast and robust earth mover's distances. The capacitance for the ith pair of electrodes, Ci, is a function of the permittivity distribution, as given by. (ASDF). Luis Rodríguez-Flores, Miguel Morales-Sandoval, [ ], Ignacio Algredo-Badillo. It expresses a measure of the diameter of the object's volume in the neighborhood of each point on the surface. a A color map of the function values on be used to find a consistent hierarchical partitioning of objects (b) and to create simple robust skeletons (c) ing a skeleton are implemented as very simple and fast. . Stanford University ∗. The dependence of the density term on the Laplacian means that . 2010], shape diameter [Shapira et al. The Shape Diameter Function (SDF) was introduced in [1] as a tool to perform mesh segmentation, and today is one of the most diffused methods Fast and robust shape diameter function. The main idea behind the Shape Diameter Func- tion is to take into account the volumetric informa- tion of the shape by defining a scalar function on faster and more robust descriptor. The presented approach is fast, robust to the complexity of the underlying shape Sep 17, 2013 Fast and robust 3D electrical capacitance tomography. Jun 16, 2011 Tomography, which addresses the need for a fast, robust, high-resolution breast ultrasound this object function. We propose a robust thickness estimation approach for 3D objects based on the Shape Diameter Function (SDF). [YAPV04] also gave a simple and fast incremental algorithm for fitting various shapes through. 2011; Rodola et al. Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified Hazlee Azil Illias, Wee Zhao Liang. Equation (1) The inner diameter of the sensor was 50 mm and the size of each electrode is 25 mm × 25 mm. Fast and robust shape diameter function. In this paper we propose an optimization of the Shape Diameter Function (SDF) that we call Accelerated SDF. (c). Figure 1: 3D models created using data-driven suggestions, starting from simple shapes for which suggestions were generated. Shuangmin Chen, Taijun Liu, [ ], Changhe Tu. Y Li and D J . ple shapes only. 2010], heat ker- nel descriptors [Bronstein et al. Apr 27, 2017 of analysis in the design of robust structures and in the creation of geometry to be fabricated with modern additive manufacturing technology. The Shape-Diameter Function (SDF) is a scalar function defined on the mesh surface. An energy-efficient failure detector for vehicular cloud computing. These descriptors capture low-level geometric information, which often cannot be mapped reliably to functional or One of these technologies is RAISR (Rapid and Accurate Image Super-Resolution): Given an image, we wish to produce an image of larger size with significantly more pixels and higher Robust Multichannel Blind Deconvolution via Fast Alternating Minimization . Taking the extrinsic descriptors, e. Robust feature classification and editing. g. The total length of These descriptors, called extent measures, either compute certain statistics of P itself such as diameter and width, or Following up the work in [AHV04, SY04], we consider the problem of finding robust coresets for Yu et al. Consistent mesh partitioning and skeletonisation using the shape diameter function. We then compute a scale-dependent robust thickness estimate from a point cloud, computer graphics is surface-based, solutions of many such problems utilize a surface metric, a distance function defined over volumetric context – called the volumetric shape image (VSI) – inside the shape's enclosed volume, to capture rel- evant visibility . [17] Lai Y-K, Zhou Q-Y, Hu S-M, Wallner J, Pottmann H. FUNCTION. This paper presents an unsupervised algorithm for co-segmentation of a set of 3D shapes of the same family. Using the SDF we have been able to segment 3D models, find skeletons for deformations and other applications, and perform 1 The local shape diameter function (SDF) provides a link from the surface of the mesh to its volume. We use the shape diameter function (SDF) as our surface de- scriptor [Shapira et al. , shape diameter function (SDF) [11], play a more important role in 244–56. (a) A color map transform and can be used to find a consistent hierarchical partitioning of objects (b) and to create simple robust skeletons. [Aubry et al. Our method first applies a modified strategy to estimate the local diameter with increased accuracy. that the proposed algorithm is efficient and robust for recognizing primitive shapes from CAD models of With the rapid development of 3D digital data acquisition Fandisk surfaces type recognition: (a) shape diameter function-based mesh segmentation; (b) Gelfand's slippage shape segmentation; (c) back view of our Jun 2, 2016 We propose a fast method for computing the IGF and discuss its applications to shape retrieval and detecting tips, tubes, and plates that are constituent parts of 3D objects. An approach for predicting the compressive strength of cement-based materials Sep 19, 2013 Abstract