Three dimensional (3D) mapping has been used widely in the spatial industry as a powerful technique for rendering artificial objects and their surrounding topography. However, an accurate and effective 3D modelling of complex features e.g. feature rich buildings and trees, is still challenging. The aim of this study is to develop an efficient framework to obtain a high-accuracy 3D model of urba...

The increasing demand for a fast, efficient and low cost algorithm for extraction of 3D urban features was the motive behind this work. In this paper we present a new technique to reconstruct buildings with detailed roofs in urban areas using airborne laser scanning altimetry data. We have tried to show that dense airborne laser scanning data is sufficient for detailed 3D reconstruction of urba...

Traditional Finnish timber construction is characterized by simplicity, clarity and scanty use of decoration. The traditional construction technique used a timberwork frame, which led to simple, cube-like building masses. Nevertheless, several log buildings erected around one yard formed a rich and varied entity, both in the country and in towns. The distinctive Finnish wooden town represents t...

A solution technique for the dynamic analysis of asymmetric base-isolated buildings, subject to earthquake ground motion, is presented. To develop the formulation, a yield surface as a function of both shear force and torsion moment of the sliding surface with rigid perfectly plastic behavior is constituted. To achieve the objective, the yield stress is defined by the friction coefficient throu...

Automatic building reconstruction from LIDAR data has become a hot topic for several years. Many methods and algorithms have been put forward to reconstruct the building models, such as of flat roof, gable roof, or other rectangular shapes. Among which, contour based method is an innovative one to simplify the focusing, detection and reconstruction of buildings. In this paper, the contour clust...

ABSTRACT A methodology for the metric reconstruction of the planar surface of facades of destroyed buildings using historical single-view photographs has been presented in this work. The methodology is based on using a-priori object properties like linearity, parallelism, perpendicularity, symmetry etc. in addition to information extracted from the photographs. The methodology involves the dete...

In this paper, techniques for an automated extraction, classification and modelling of 3D objects will be presented. They use solely laserscanning derived digital elevation models as data basis. Trees, buildings and terrain objects are detected and classified. Firstly, a special region growing algorithm segments 3D objects on the terrain surface. Object specific features are extracted inside th...

Various methods have been developed to measure three-dimensional (3D) objects and obtain a highaccuracy Digital Surface Model (DSM). High-quality elevation data is essential to support urban planning and civil engineering, however, effective measuring of height information is still challenging. The aim of this paper is to present an accuracy assessment of laser scanned data and the enhancement ...

This paper presents a new approach to automatic 3D building reconstruction from LiDAR data. While traditional approaches use random sampling or Hugh transform for extracting subsets of coplanar points from noisy point clouds, our method is based on locally fitted surfaces (LoFS). These are planes, best-fitted to the Kneighbourhood of each LiDAR point. In this way, a set of candidate patches for...

A scene analysis system for automated 3–D modeling of buildings is presented. It combines surface reconstruction techniques with object recognition to generate 3–D models for computer graphics applications. The system permits the insertion of high level constraints, like a specific angle between two house walls, in an explicit knowledge base as a semantic net. The applicability of those constra...