Share Email Print
cover

Proceedings Paper • new

Range image registration based on the consistency of rigid transformation
Author(s): Masaki Yoshii; Ikuko Shimizu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Range image registration is an essential technique for 3D modeling of the real world object from its range images captured by a 3D sensor. It estimates the relative positions and orientations of the viewpoints using multiple range images which are captured by the 3D sensor from multiple viewpoints. The rigid transformations to define the relative positions and orientations of the viewpoints are estimated based on the corresponding 3D points, which observe the same point on the object surface. In this paper, we propose a method for range image registration based on the consistency of the rigid transformation between corresponding point pairs to improve accuracy. We generate triplets of corresponding point pairs and evaluate the consistency because at least three corresponding point pairs are required to estimate a rigid transformation. We estimate the rigid transformation using each triplet of the corresponding point pairs and evaluate the distance between estimated rigid transformations in the parameter space. We select the triplet which have the largest number of consistent triplets and estimate the rigid transformation using the selected triplet and its consistent triplets. In the experiment, our method obtained the most accurate and the most stable registration results compared with the conventional methods, Iterative Closest Point and Globally Optimal ICP.

Paper Details

Date Published: 22 March 2019
PDF: 6 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490C (22 March 2019); doi: 10.1117/12.2521596
Show Author Affiliations
Masaki Yoshii, Tokyo Univ. of Agriculture and Technology (Japan)
Ikuko Shimizu, Tokyo Univ. of Agriculture and Technology (Japan)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

© SPIE. Terms of Use
Back to Top