Object recognition and localization via pose clustering
Computer Vision, Graphics, and Image Processing
Pose Determination of a Three-Dimensional Object Using Triangle Pairs
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
Partial surface matching by using directed footprints
Proceedings of the twelfth annual symposium on Computational geometry
Point Signatures: A New Representation for 3D Object Recognition
International Journal of Computer Vision
Reconstruction of Three-Dimensional Objects through Matching of Their Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic crude patch registration: toward automatic 3D model building
Computer Vision and Image Understanding - Registration and fusion of range images
Differential invariants as the base of triangulated surface registration
Computer Vision and Image Understanding - Registration and fusion of range images
Pair-wise range image registration: a study in outlier classification
Computer Vision and Image Understanding - Registration and fusion of range images
Estimating surface normals in noisy point cloud data
Proceedings of the nineteenth annual symposium on Computational geometry
Recognizing Objects by Matching Oriented Points
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
A global approach to automatic solution of jigsaw puzzles
Computational Geometry: Theory and Applications - Special issue on the 18th annual symposium on computational geometry—SoCG2002
Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes
International Journal of Computer Vision
Reassembling fractured objects by geometric matching
ACM SIGGRAPH 2006 Papers
Low-Cost laser range scanner and fast surface registration approach
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Efficient solution to the 3D problem of automatic wall paintings reassembly
Computers & Mathematics with Applications
| Hi-index | 0.00 |
We propose a novel and efficient surface matching approach for reassembling broken solids as well as for matching assembly components using cluster trees of oriented points. The method rapidly scans through the space of all possible contact poses of the fragments to be (re)assembled using a tree search strategy, which neither relies on any surface features nor requires an initial solution. The new method first decomposes each point set into a binary tree structure using a hierarchical clustering algorithm. Subsequently the fragments are matched pairwise by descending the cluster trees simultaneously in a depth-first fashion. In contrast to the reassemblage of pottery and thin walled artifacts, this paper addresses the problem of matching broken 3D solids on the basis of their 2.5D fracture surfaces, which are assumed to be reasonable large. Our proposed contact area maximization is a powerful common basis for most surface matching tasks, which can be adapted to numerous special applications. The suggested approach is very robust and offers an outstanding efficiency.