Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features

Author:

Li Jianping,Yang BishengORCID,Chen Chi,Huang RonggangORCID,Dong Zhen,Xiao Wen

Funder

NSFC project

National Key Technology R&D Program

Public science and technology research funds projects of ocean

National Key Research and Development Program of China

Doctoral Fund of Ministry of Education of China

Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference40 articles.

1. Automatic registration of optical aerial imagery to a LiDAR point cloud for generation of city models;Abayowa;ISPRS J. Photogramm. Remote Sens.,2015

2. Böhm, J., Becker, S., 2007. Automatic marker-free registration of terrestrial laser scans using reflectance. In: Proceedings of 8th Conference on Optical 3D Measurement Techniques, Zurich, Switzerland, pp. 338–344.

3. State Estimation for Robotics: A Matrix Lie Group Approach;Barfoot,2016

4. Segmentation of terrestrial laser scanning data using geometry and image information;Barnea;ISPRS J. Photogramm. Remote Sens.,2013

5. Bhatia, S.K., 2004. Adaptive K-Means Clustering. The Florida Ai Research Society, pp. 695–699.

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