2 edition of **Surface reconstruction from planar contours** found in the catalog.

Surface reconstruction from planar contours

Allan R. Jones

- 182 Want to read
- 27 Currently reading

Published
**1986** .

Written in English

- Computer science

The Physical Object | |
---|---|

Pagination | 57 p. |

Number of Pages | 57 |

ID Numbers | |

Open Library | OL25508189M |

More specifically, the core surface reconstruction algorithm consists of computing an implicit function which is an approximate indicator function of the inferred solid (Poisson Surface Reconstruction - referred to as Poisson). Poisson is a two steps process: it requires solving for . A New Way of Analyzing Object Data from a Nonparametric Viewpoint. Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis provides one of the first thorough treatments of the theory and methodology for analyzing data on manifolds. It also presents in-depth applications to practical problems arising in a variety of fields, including statistics, medical imaging. Jul 30, · Civil 3D - Creating a surface from existing contours (Polylines) - Duration: Autodesk Civil 3D Classes 19, views. REST API concepts and examples - Duration: Creates contour lines derived from a terrain, TIN, or LAS dataset surface. Learn more about how Surface Contour works. Illustration Usage. The output feature class is 2D and contains an attribute with contour values. Use the interval and base contour options to tailor the extent and resolution of .

The Geometry of Putting On a Planar Surface. Robert D. Grober. Department of Applied Physics, Yale University, New Haven, CT Abstract. This paper explores the geometry of putting in the limiting case of a planar putting surface. Putts equidistant from the hole originating on an arc spanning ±30 degrees are shown to share a common Author: Robert D. Grober.

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These algorithms try to make a "good triangulation" to fill a space between these contours: One of them (Optimal surface reconstruction from planar contours) is based on the dynamic programming technique and uses a cost function for determining which triangulation is acceptable according to the minimum cost.

Optimal Surface Reconstruction from Planar Contours. Article (PDF Available) in ACM SIGGRAPH Computer Graphics 20(2) · August with Reads How we measure 'reads'. Journal of Computational and Applied Mathematics 23 () North-Holland An algorithm for surface reconstruction from planar contours using smoothing splines Paul DIERCKX Department of Computer Science, Katholieke Universiteit Leuven, Celestijnenlaan A, B Surface reconstruction from planar contours book, Belgium Paul SUETENS Department of Electrical Engineering, ESA T Katholieke Universiteit Leuven, de Croylaan Cited by: 4.

contour interpolation algorithm was implemented in SlicerRT for reconstructing surfaces from planar contours. The implemented algorithm was able to generate qualitatively good 3D mesh from the set of 2D contours for most tested structures.

Keywords: surface reconstruction, contour interpolation, triangulation, radiation therapy 1. INTRODUCTION. Surface construction from planar contours data with the special cases marked for later complete surface regeneration. Algorithm details summary. We have pre- sented an outline and discussion of our algorithm for surface iniinisamoa.com by: We investigate the problem of reconstruction a surface given its contours on parallel slices.

We present a branch-and-cut algorithm which computes the surface with the minimal area. This surface is assumed to be the best reconstruction since a long time. Nevertheless there were no algorithms to Cited by: 1. T1 - Reconstruction of surfaces from planar contours through contour interpolation.

AU - Sunderland, Kyle. AU - Woo, Boyeong. AU - Pinter, Csaba. AU - Fichtinger, Gabor. PY - Y1 - N2 - PURPOSE: Segmented structures such as targets or organs at risk are typically stored as 2D contours contained on evenly spaced cross sectional images Cited by: 4.

First, several adjacent contour mapping positions are used to reveal the correspondence of contours. Second, a tessellation algorithm approximates contours into line segments.

Finally, surface meshes, in the form of strips and fans, use the gradient of line segments to optimise Surface reconstruction from planar contours book quality without affecting the rendering iniinisamoa.com by: 1. We find the gradient of the original data, normalize it, and use it as a basis for shading the models.

The detail in images produced from the generated surface models is the result of maintaining the inter-slice connectivity, surface data, and gradient information present in the original 3D data.

Approach Overview. An overview of our approach to contour-based surface reconstruction is illustrated in Figure iniinisamoa.com process begins with a set of contours, where each contour is represented by a binary image of one or more closed curves, and produces a smooth 3D mesh as iniinisamoa.com by: Optimal Surface Reconstruction from Planar Contours H.

Fuchs, Z.M. Kedem, and S.P. Uselton The University of Texas at Dallas In many scientific and technical endeavors, a three- dimensional solid must be reconstructed from serial sections, either to aid in the comprehension of the. The results of experiments demonstrated that the quality of terrain surface reconstruction from contours and/or other data using developed procedures and software is better, or at least as good as.

Apr 01, · Surface reconstruction from cross-section curves has been extensively studied for the past three decades. Previous work mostly considers connecting curves on parallel cross-sections (e.g., Figure 1 (a)), where many solutions exist (see a brief review in Section 2).Here we are interested in the more difficult problem of surface reconstruction from non-parallel cross-sections (e.g., Figure 1 (b)).

Mar 18, · 18 March Reconstruction of surfaces from planar contours through contour interpolation. Kyle Sunderland; Contour interpolation algorithms are implemented in radiation oncology treatment planning software to turn 2D contours into a 3D surface, however the results differ between algorithms, causing discrepancies in analysis.

Cited by: 4. of contours parallel to a user-speciﬁed cutting plane. Approach Overview An overview of our approach to contour-based surface reconstruction is illustrated in Figure 1. The process begins with a set of contours, where each contour is rep-resented by a binary image of one or more closed curves, and produces a smooth 3.

point set surface. In Symposium on Point-Based Graphics[26] N. Amenta, iniinisamoa.com, t. Dey, and N. Leekha. A Simple Algorithm for Homeomorphic Surface Reconstruction, International Journal of Computational Geometry and Applications, vol n, pp, [27] Nina Amenta and Marshall Bern.

Surface reconstruction by Voronoi. A novel contour generation algorithm is developed to convert dexel data into a series of planar contours on parallel slices. The algorithm categorizes the dexels on two adjacent rays into different groups by using a “grouping” criterion. The dexel points in the same group are connected using a Cited by: tomatically reconstructing surfaces from planar contours.

Our al-gorithm is based on scanline rendering and separating surface ex-traction. By rendering the contours as distinctly colored polygons and reading back each rendered slice into a segmented volume, we reduce the complex problem of building a. We introduce a tool to build a surface mesh able to deal with sparse, heterogeneous, non-parallel, cross-sectional, non-coincidental contours and show its application to reconstruct surfaces of the heart.

In recent years, much research has looked at creating personalised 3D anatomical models of the heart. These models usually incorporate a geometrical reconstruction of the anatomy in order to Cited by: 3.

Planar contour data describing the outlines of organs in the human body have become easily obtainable in recent years. Examples of data that can be used to create these contours include the Visible Human Project[21], ultrasound, and magnetic resonance imaging (MRI).

Watertight Planar Surface Meshing of Indoor Point-Clouds with Voxel Carving Eric Turner and Avideh Zakhor Department of Electrical Engineering and Computer Science University of California Berkeley Berkeley, CA [email protected], [email protected] Abstract 3D modeling of building architecture from point-cloud.

This paper presents a new method for surface reconstruction from dexel data for virtual sculpting. We are in the midst of developing a dexel model based sculpting system having the capability of interactive solid modeling with haptics iniinisamoa.com by: 2.

Marching cubes: A high resolution 3d surface construction algorithm. Optimal surface reconstruction for planar contours.

Surface shading in the cuberille environment. Surfaces from contours. The theory design, implementation and evaluation of a three-dimensional surface detection algorithm.

Contour-Based Surface Reconstruction using Implicit Curve Fitting, and Distance Field Filtering and Interpolation contours), tiling (how to create meshes from these edges) and branching (how to cope with slices with different num- surface reconstruction from a series of parallel contours.

Given a distance ﬁeld for each contour, the 2D Cited by: Input Data • Set of range scans – Each scan is a regular quad‐or tri‐ mesh – NormalNormalNormal vectors are well defined – Scans registered in common. The problem of approximating the surface spanning a given set of 3D points as a polyhedron of triangular faces (“triangulation”) is a significant one, and has many applications in the fields of computer graphics and computer vision.

In this paper, several solutions to this problem are iniinisamoa.com by: This book chapter aims to discuss the 3D ultrasound reconstruction and visualization. First, the various types of 3D ultrasound system are reviewed, such as mechanical, 2D array, position tracking-based freehand, and untracked-based freehand.

Second, the 3D ultrasound reconstruction technique or pipeline used by the current existing system, which includes the data acquisition, data Author: Farhan Mohamed, Chan Vei Siang.

Surface Reconstruction Surface reconstruction methods can be classiﬁed according to the way in which they represent the reconstructed surface.

Implicit reconstruction methods attempt to ﬁnd a smooth func-tion f:IR3 f IR such that x 1 n g is close to the zero set Z(f). They differ with respect to the form of and the measure of iniinisamoa.com by: By studying the internal and external relations between the contours, this method is also applicable to the surface reconstruction from non-planar contours in 3D.

The results of surface reconstruction using this method largely depend on the effect of incremental iniinisamoa.com: De-Yun Zhong, Li-Guan Wang, Ming-Tao Jia, Lin Bi, Ju Zhang. A standard way to segment medical imaging datasets is by tracing contours around regions of interest in parallel planar slices.

Unfortunately, the standard methods for reconstructing three dimensional surfaces from those planar contours tend to be either complicated or not very robust. Furthermore, they fail to consistently mesh abutting structures which share portions of contours.

We present. surface in order to minimize a functional which not only tries to t the surface to a set of 3D points, but also includes constraints on the surface normal and on the projection of the surface contour in images.

This makes it possible to in-clude, for instance, apparent contours in the reconstruction process. Download Surface Reconstruction from Contour Data for free.

This program written in C/C++ will construct a triangluated surface from a set a 3d contour points. Figure1:Reconstruction by [CLP10], and by our method with regularization based on area, edge length and number of corners.

Abstract This paper presents a method for the 3D reconstruction of a piecewise-planar surface from range images, typi-cally laser scans with millions of points.

ConvexHull planar surface reconstruction. ConvexHull planar surface reconstruction. ExtractPolygonalPrismData segmentation. ExtractPolygonalPrismData segmentation.

PassThrough filtering. PassThrough filtering. VoxelGrid filtering. VoxelGrid filtering. Filter Nodelets. Descriptions of many filter nodelets. Turning a PointCloud into an Image. algorithms for surface reconstruction – alpha-shapes, crust algorithm, which are based on spatial subdivision.

1 The algorithms for partitioning We always explain the planar case. Everything can be generalized into three-dimensional space (or higher dimensions). Definition 1.

Techniques for Surface Reconstruction Technique Assumptions Fit parametric surface Data ﬁts model Piece together parallel contours Data from known device Fit Gaussian Kernels Given normal at each point-shapeTriangulation Noise-free “Mesh” methods Sample Dense Near Features Crust Methods Sample Dense Near Features Surface Reconstruction.

Ten years ago, the inaugural European Conference on Computer Vision was held in Antibes, France. Since then, ECCV has been held biennially under the auspices of the European Vision Society at venues around Europe.

This year, the privilege of organizing ECCV falls to Ireland and it is a signal. Oct 01, · Topologically correct reconstruction of tortuous contour forests Topologically correct reconstruction of tortuous contour forests Edwards, John; Bajaj, Chandrajit Motivated by the need for correct and robust 3D models of neuronal processes, we present a method for reconstruction of spatially realistic and topologically correct models from planar cross sections of.

Surface Reconstruction Via Contour Metamorphosis: An Eulerian Approach With Lagrangian Particle Tracking Ola Nilsson⁄ Link˜oping University David Breeny Drexel University Ken Musethz Link˜oping University Figure 1: Surface reconstruction with our new method.

(left) 35 input contours from a CT scan of the pelvis area bones, resolution £ Aug 19, · Creating a Surface from Contour Lines using Patch Surface – Example August 19, Often you will start a project with existing topographical information in the form of contour lines in a.

Looking for an algorithm or library for surface reconstruction from contours (closed polygons). I want to create the best surface surrounding two polygons. Each polygon has some convex and concave sections; therefore, reconstruction the surface from polygons is more difficult.

I am looking for an algorithm or library or any idea to solve this.Dec 12, · Our next innovation was to create an interactive system 41 that allows a user to navigate the surface of the 3D reconstruction of the Great Parchment Book, virtually flattening specific areas of interest when required.

Previously, we discussed how standard metric-preserving surface parameterization algorithms are often not suitable for Cited by: 3.Oct 01, · It takes planar contours in adjacent slices as input and outputs a series of triangles, or “tiles”, forming a surface between the contours.

It supports branching and conforms to all of the criteria as they apply to single component reconstructions. The algorithm proceeds roughly as follows: Given contours in adjacent slices.