3D shape modeling using a self-developed hand-held 3D laser scanner and an efficient HT-ICP point cloud registration algorithm
Publication in refereed journal

香港中文大學研究人員

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摘要Firstly, we develop a cost-efficient hand-held three-dimensional (3D) laser scanner for optical 3D laser scan data acquisition. Then, an automatic registration algorithm is used for 3D laser scanning based 3D shape modeling. Inspired by the use of twist to parameterize rigid motion in workpiece localization, we present the Hong-Tan based ICP (Iterative Closest Point) automatic registration algorithm (named HT-ICP) for partially overlapping point clouds. Using the point clouds from Stanford 3D Scanning Repository, we compare HT-ICP with the original ICP algorithm and its main variants, and experimental results show that the HT-ICP algorithm improves both the speed and accuracy of registration. Then we give the performance analysis with increasing amount of noise, and show the power of the "4PCS" + "HT-ICP" strategy for working directly on the raw noisy data. Furthermore, in the process of complete 3D shape modeling of Venus-head-statue, we demonstrate the effectiveness of the HT-ICP algorithm when aligning the actually acquired noisy point clouds from our 'self-developed low-precision hand-held scanner. (c) 2012 Elsevier Ltd. All rights reserved.
著者Chen J, Wu XJ, Wang MY, Li XF
期刊名稱Optics and Laser Technology
出版年份2013
月份2
日期1
卷號45
出版社Elsevier
頁次414 - 423
國際標準期刊號0030-3992
電子國際標準期刊號1879-2545
語言英式英語
關鍵詞3D image processing; 3D laser scanning system; Point cloud registration
Web of Science 學科類別Optics; OPTICS; Physics; Physics, Applied; PHYSICS, APPLIED

上次更新時間 2021-15-04 於 23:54