A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Target-Free Automatic Point Clouds Registration Using 2D Images
This paper presents a target-free automatic point cloud registration method which is based on identified common features between multiple images in point clouds. Target-free automatic registration of point clouds is an important research area in which several problems are still not addressed completely, such as registration accuracy, time, and size of overlapping area between point clouds. In this study, a series of point cloud data sets from different scan positions are registered based on the texture data in the overlapping area between point cloud sets. Both texture and point cloud data are obtained by a developed Laser Detection and Ranging (LADAR) system simultaneously. The automatic registration algorithm begins by identifying 2D common features of the texture, then constructing corresponding 3D common points, and afterwards finding out the optimal transformation matrix. The introduced method will substantially reduce the amount of time for point cloud registration by using a few images within a small, overlapping area between point clouds without the need of target references, thus significantly promoting as-built modeling process for existing infrastructure or construction progresses.
Target-Free Automatic Point Clouds Registration Using 2D Images
This paper presents a target-free automatic point cloud registration method which is based on identified common features between multiple images in point clouds. Target-free automatic registration of point clouds is an important research area in which several problems are still not addressed completely, such as registration accuracy, time, and size of overlapping area between point clouds. In this study, a series of point cloud data sets from different scan positions are registered based on the texture data in the overlapping area between point cloud sets. Both texture and point cloud data are obtained by a developed Laser Detection and Ranging (LADAR) system simultaneously. The automatic registration algorithm begins by identifying 2D common features of the texture, then constructing corresponding 3D common points, and afterwards finding out the optimal transformation matrix. The introduced method will substantially reduce the amount of time for point cloud registration by using a few images within a small, overlapping area between point clouds without the need of target references, thus significantly promoting as-built modeling process for existing infrastructure or construction progresses.
Target-Free Automatic Point Clouds Registration Using 2D Images
Gai, Mengmeng (author) / Cho, Yong K. (author) / Xu, Qinghua (author)
ASCE International Workshop on Computing in Civil Engineering ; 2013 ; Los Angeles, California
Computing in Civil Engineering (2013) ; 865-872
2013-06-24
Conference paper
Electronic Resource
English
Target-Free Automatic Point Clouds Registration Using 2D Images
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