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Three dimensional building models have become important during the past for various applications like urban planning, enhanced navigation or visualization of touristy or historic objects. 3D models ca...
In this part of literature we will present a new way of extracting a skeleton out of a point cloud. Our approach is based on looking at the attributes of data points in small parts of the space. The s...
Outlier detection in laser scanner point clouds is an essential process before the modelling step. However, the number of points in the generated point cloud is in the order of million points, so (sem...
For automatic processing of point clouds their segmentation is one of the most important processes. The methods based on curvature and other higher level derivatives often lead to over segmentation, w...
With the use of terrestrial laser scanning, it is possible to capture thousands of 3-dimensional points on the surface of an object. The problem is that the vast quantity of data that needs to be mani...
Oblique photography technology as an excellent method for 3-D city model construction has brought itself to large-scale recognition and undeniable high social status. Tilt and vertical images with the...
Terrestrial laser scanners can rapidly acquire thousands of 3D points over a structure. The individual scan points are of relatively low precision (±2mm – ±50mm) depending on the instrument type. How...
Terrestrial laser scanners provide a three-dimensional sampled representation of the surfaces of objects resulting in a very large number of points. The spatial resolution of the data is much higher ...
We present a method for 3D reconstruction of industrial sites using a combination of images and point clouds with a motivation of achieving higher levels of automation, precision, and reliability. Re...
Fusion of close range photogrammery and the relatively new technology of terrestrial laser scanning methods offer new opportunities for photorealistic 3D models presentation, classification of real w...
Derivation of Roof Types by Cluster Analysis in Parameter Spaces of Airborne Laser Scanner Point Clouds.
This paper presents a data acquisition system consisting of multiple RGB-D sensors and digital single-lens reflex (DSLR) cameras. A systematic data processing procedure for integrating these two kinds...
This paper proposes a qualification method of a point cloud created by SfM (Structure-from-Motion) software. Recently, SfM software is popular for creating point clouds. Point clouds created by SfM So...
In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A tw...
Given a cloud of measurement points from the surface of a 3D object, we address the problem of recognizing and reconstructing special surface types. We survey our work on this problem, which is based ...

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