We present an automatic method for computing an accurate parametric model of a piecewise defined pipe surface, consisting of cylinder and torus segments, from an unorganized point set. Our main contributions are reconstruction of the spine curve of a pipe surface from surface samples, and approximation of the spine curve by G1 continuous circular arcs and line segments. Our algorithm accurately...

We introduce a novel technique for surface reconstruction from unorganized points by applying Kohonen’s self-organizing map. The topology of the surface is predetermined, and a neural network learning algorithm is carried out to obtain correct 3D coordinates at each vertex of the surface. Edge swap and multiresolution learning are proposed to make the algorithm more effective and more efficient...

This paper describes an algorithm for generating compact feature-based 3D models of indoor environments with a mobile robot. The emphasis lies on the high performance of the algorithm, its possible incremental use, as well as its wide applicability to a variety of sensors as it does not assume any structure in the raw data at all. It recovers planar surfaces of physical environments based on a ...

The paper presents a system for 3D reconstruction from multiple uncalibrated unorganized images. A number of alternative reconstruction techniques can be combined together by the means of a simple language. A complete reconstruction procedure is defined by a program in this language. Such an approach allows to choose a suitable reconstruction method for the situation at hand and thus obtain use...

We propose the moving parabolic approximation (MPA) model to reconstruct an improved point-based surface implied by an unorganized point cloud, while also estimating the differential properties of the underlying surface. We present examples which show that our reconstructions of the surface, and estimates of normal and curvature information, are accurate for precise point clouds and robust in t...

The general problem of 3D shape reconstruction from unorganized data sets can be described as follows: Given 3D range data or dense 3D scattered point sets sampled on or near an unknown object surface, reconstruct the topological and geometrical structures represented by the data points. The data points should be approximated by a set of smooth, connected surface patches such that the accuracy ...

Using moving parabolic approximations (MPA), we reconstruct an improved point-based model of curve or surface represented as an unorganized point cloud, while also estimating the differential properties of the underlying smooth manifold. We present optimization algorithms to solve these MPA models, and examples which show that our reconstructions of the curve or surface, and estimates of the no...

Naeem Akhtar MS Scholar; Department of Management Sciences, COMSATS Institute of Information Technology, Sahiwal, Pakistan Saqib Ali and Muhammad Salman MS Scholar; Department of Management Sciences, Bahauddin Zakariya University Sub Campus Sahiwal, Pakistan Asad-Ur-Rehman MS Scholar; Department of Management Sciences, COMSATS Institute of Information Technology, Sahiwal, Pakistan Aqsa Ijaz BBA...

Despite the decentralized and unorganized nature of the web, we show that the web self-organizes such that communities of highly related pages can be efficiently identified based purely on connectivity. This discovery allows the identification of communities independent of, and unbiased by, the specific words used by authors. Applications include improved search engines, content filtering, and ...

In this work we introduce research on information scraps, or the unorganized pieces of personal information that commonly end up in our notebooks, spare pieces of paper, free text files, or e-mail. We perform an ethnographic study investigating patterns surrounding these scraps, uncovering patterns in use, content and needs. We conclude with a description of our prototype system Jourknow, inten...