An Iterative Closest Points Algorithm for Registration of 3D Laser Scanner Point Clouds with Geometric Features

Non-rigid registration of 3D point clouds under isometric deformation

(2016) Xuming Ge   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey

(2014) Yulan Guo et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Feature-constrained registration of building point clouds acquired by terrestrial and airborne laser scanners

(2014) Hangbin Wu et al.   Journal of Applied Remote Sensing

LieTrICP: An improvement of trimmed iterative closest point algorithm

(2014) Jianmin Dong et al.   NEUROCOMPUTING

Semi-Automatic Registration of Airborne and Terrestrial Laser Scanning Data Using Building Corner Matching with Boundaries as Reliability Check

(2013) Liang Cheng et al.   Remote Sensing

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

(2012) Jia Chen et al.   OPTICS AND LASER TECHNOLOGY

Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds

(2009) Kwang-Ho Bae   SENSORS

4-points congruent sets for robust pairwise surface registration

(2008) Dror Aiger et al.   ACM TRANSACTIONS ON GRAPHICS

Coarse orientation of terrestrial laser scans in urban environments

(2007) C. Brenner et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Keypoint based autonomous registration of terrestrial laser point-clouds

(2007) Shahar Barnea et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING