IMPROVING 3D LIDAR POINT CLOUD REGISTRATION USING OPTIMAL NEIGHBORHOOD KNOWLEDGE
نویسندگان
چکیده
منابع مشابه
Improving 3d Lidar Point Cloud Registration Using Optimal Neighborhood Knowledge
Automatic 3D point cloud registration is a main issue in computer vision and photogrammetry. The most commonly adopted solution is the well-known ICP (Iterative Closest Point) algorithm. This standard approach performs a fine registration of two overlapping point clouds by iteratively estimating the transformation parameters, and assuming that good a priori alignment is provided. A large body o...
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LiDAR data are available in a variety of publicly-accessible forums, providing high-resolution, accurate 3dimensional information about objects at the Earth’s surface. Automatic extraction of information from LiDAR point clouds, however, remains a challenging problem. The focus of this research is to develop methods for point cloud classification and object detection which can be customized for...
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ژورنال
عنوان ژورنال: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2012
ISSN: 2194-9050
DOI: 10.5194/isprsannals-i-3-111-2012