Multiple Interpretations of the Shape and Motion of Objects from Two Perspective Images
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
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
Towards a General Multi-View Registration Technique
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matrix computations (3rd ed.)
Extension of the ICP algorithm to nonrigid intensity-based registration of 3D volumes
Computer Vision and Image Understanding
3D-2D projective registration of free-form curves and surfaces
Computer Vision and Image Understanding
Open Geometry: OpenGL + Advanced Geometry with Disk
Open Geometry: OpenGL + Advanced Geometry with Disk
Registering Multiview Range Data to Create 3D Computer Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Geometrical Analysis of Two Sets of 3D Correspondence Data Patterns
SMI '99 Proceedings of the International Conference on Shape Modeling and Applications
Free-Form Surface Registration Using Surface Signatures
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Comparing and Evaluating Interest Points
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Indoor scene reconstruction from sets of noisy range images
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Pseudo-linearizing collinearity constraint for accurate pose estimation from a single image
Pattern Recognition Letters
Maximum-Likelihood Registration of Range Images with Missing Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constraints for closest point finding
Pattern Recognition Letters
Comparison of point clouds acquired by 3d scanner
DGCI'13 Proceedings of the 17th IAPR international conference on Discrete Geometry for Computer Imagery
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The iterative closest point (ICP) algorithm represents an efficient method to establish an initial set of possible correspondences between two overlapping range images. An inherent limitation of the algorithm is the introduction of false matches, a problem that has been tackled by a variety of schemes mainly based on local invariants described in a single coordinate frame. In this paper we propose using global rigid motion constraints to deal with false matches. Such constraints are derived from geometric properties of correspondence vectors bridging the points described in different coordinate frames before and after a rigid motion. In order to accurately and efficiently estimate the parameters of interest, the Monte Carlo resampling technique is used and motion parameter candidates are then synthesised by a median filter. The proposed algorithm is validated based on both synthetic data and real range images. Experimental results show that the proposed algorithm has advantages over existing registration methods concerning robustness, accuracy, and efficiency.