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http://dx.doi.org/10.7780/kjrs.2010.26.1.39

Experiment for 3D Coregistration between Scanned Point Clouds of Building using Intensity and Distance Images  

Jeon, Min-Cheol (Dept. of Advanced Technology Fusion, Konkuk University)
Eo, Yang-Dam (Dept. of Advanced Technology Fusion, Konkuk University)
Han, Dong-Yeob (Dept. of Civil & Environmental Engineering, Chonnam National University)
Kang, Nam-Gi (Dept. of Advanced Technology Fusion, Konkuk University)
Pyeon, Mu-Wook (Dept. of Advanced Technology Fusion, Konkuk University)
Publication Information
Korean Journal of Remote Sensing / v.26, no.1, 2010 , pp. 39-45 More about this Journal
Abstract
This study used the keypoint observed simultaneously on two images and on twodimensional intensity image data, which was obtained along with the two point clouds data that were approached for automatic focus among points on terrestrial LiDAR data, and selected matching point through SIFT algorithm. Also, for matching error diploid, RANSAC algorithm was applied to improve the accuracy of focus. As calculating the degree of three-dimensional rotating transformation, which is the transformation-type parameters between two points, and also the moving amounts of vertical/horizontal, the result was compared with the existing result by hand. As testing the building of College of Science at Konkuk University, the difference of the transformation parameters between the one through automatic matching and the one by hand showed 0.011m, 0.008m, and 0.052m in X, Y, Z directions, which concluded to be used as the data for automatic focus.
Keywords
Terrestrial LiDAR; Matching; SIFT; RANSAC; Transformation Parameter;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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