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LIDAR (Light Detection and Ranging) is an especially effective tool for acquiring geo-referenced point clouds of urban site. Accurate extraction of elevated features such as building rooftops is vitally important in various applications. However, it is still challenging to determine an accurate rooftop contour from the irregularly distributed LIDAR point clouds. In this paper an efficient LIDAR segmentation...
Building digitalization is an important component of digital city development. Terrestrial laser scanning (TLS) technology provides a high-precision and high-density data source to guarantee building digitalization and reconstruction. However, when these large scattered points cloud are used to build a 3D digital model, the points of building boundaries extraction is an essential issue. In this paper,...
Occluded boundary detection in a 3-D point cloud is an indispensable preprocessing step for many applications, such as point cloud completion. Meanwhile, existing methods do not have the ability of distinguishing occluded and complete surface borders, such as the border of a sign board. To solve this problem, this letter presents an occluded boundary detection method for small-footprint LIDAR point...
Point cloud completion is an indispensible process for handling the occlusion problem occurring during the data acquisition. For completion, 3D point clouds generate a much larger searching space than 2D images while searching for the best match for boundary patches. To handle the searching speed bottleneck, this paper proposed a novel optimization algorithm which is called the 3D-PatchMatch algorithm...
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