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
Geometric matching of 3D objects: assessing the range of successful initial configurations
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Registration and integration of textured 3-D data
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
High-Quality Texture Reconstruction from Multiple Scans
IEEE Transactions on Visualization and Computer Graphics
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Fast ICP Algorithms for Shape Registration
Proceedings of the 24th DAGM Symposium on Pattern Recognition
A mean field annealing approach to accurate free form shape matching
Pattern Recognition
Replicator Dynamics in the Iterative Process for Accurate Range Image Matching
International Journal of Computer Vision
Online loop closure for real-time interactive 3D scanning
Computer Vision and Image Understanding
Iterative closest SIFT formulation for robust feature matching
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
| Hi-index | 0.00 |
Applications such as object digitizing, object recognition and object inspection need efficient surface matching algorithms. Several variants of an iterative closest point (ICP) matching algorithm have been proposed for such tasks. This paper proposes and analyzes a multifeature ICP matching algorithm that includes the surface color and the surface orientation information. The matching error minimization keeps the original closed-form solution. Therefore, the convergence of the multifeature ICP algorithm cannot be proven anymore. However, experiments show successful convergence. Further experimental results applying the multi-feature ICP to free-form objects show a significant increase of the range of successful convergence range.