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
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
ICP Registration Using Invariant Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Matching of 3-D curves using semi-differential invariants
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
From Images to Models: Automatic 3D Object Model Construction from Multiple Views
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
Free Form Shape Matching Using Deterministic Annealing and Softassign
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
An extension of the ICP algorithm for modeling nonrigid objects with mobile robots
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Indoor scene reconstruction from sets of noisy range images
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
A mean field annealing approach to accurate free form shape matching
Pattern Recognition
Constraints for closest point finding
Pattern Recognition Letters
Replicator Dynamics in the Iterative Process for Accurate Range Image Matching
International Journal of Computer Vision
3D model comparison using spatial structure circular descriptor
Pattern Recognition
Free form shape registration using the barrier method
Computer Vision and Image Understanding
Markov random field-based clustering for the integration of multi-view range images
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
MRF labeling for multi-view range image integration
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Leaf segmentation and tracking using probabilistic parametric active contours
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
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Three-dimensional free form shape matching is a fundamental problem in both the machine vision and pattern recognition literatures. However, the automatic approach to 3D free form shape matching still remains open. In this paper, we propose using k closest points in the second view for the automatic 3D free form shape matching. For the sake of computational efficiency, the optimised k-D tree is employed for the search of the k closest points. Since occlusion and appearance and disappearance of points almost always occur, slack variables have to be employed, explicitly modelling outliers in the process of matching. Then the relative quality of each possible point match is estimated using the graduated assignment algorithm, leading the camera motion parameters to be estimated by the quaternion method in the weighted least-squares sense. The experimental results based on both synthetic data and real images without any pre-processing show the effectiveness and efficiency of the proposed algorithm for the automatic matching of overlapping 3D free form shapes with either sparse or dense points.