Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Zippered polygon meshes from range images
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
ICP Registration Using Invariant Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Registration and Integration of Multiple Range Images for 3-D Model Construction
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Fast and accurate shape-based registration
Fast and accurate shape-based registration
Algorithms for comparing and analyzing three-dimensional geometry
Algorithms for comparing and analyzing three-dimensional geometry
Feature analysis and registration of scanned surfaces
Feature analysis and registration of scanned surfaces
4-points congruent sets for robust pairwise surface registration
ACM SIGGRAPH 2008 papers
A multilevel surface modeling method and its application to range image registration
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
Multiview registration for large data sets
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
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Automatic registration of partially overlapping range images is the core issue of various 3D laser scanning based reconstruction systems. Inspired by the use of twist to parameterize rigid motion in Hong-Tan workpiece localization algorithm, we present Hong-Tan based ICP (Iterated Closest Point) automatic registration algorithm (HT-ICP) for partially overlapping range images. Using the range images 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 can improve both the accuracy and speed of registration. Based on a mesh error measure tool, we measure the error between reconstruction result and benchmark, and experimental results demonstrate that HT-ICP algorithm is sufficient for practical 3D reconstruction applications in industry.