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
Building 3-D models from unregistered range images
Graphical Models and Image Processing
New feature points based on geometric invariants for 3D image registration
International Journal of Computer Vision
Matching of 3-D curves using semi-differential invariants
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A Fast Automatic Method for Registration of Partially-Overlapping Range Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Special issue on registration and fusion of range images
Computer Vision and Image Understanding - Registration and fusion of range images
Efficient partial-surface registration for 3D objects
Computer Vision and Image Understanding
3D registration of partially overlapping surfaces using a volumetric approach
Image and Vision Computing
Pairwise Matching of 3D Fragments Using Cluster Trees
International Journal of Computer Vision
Log-polar height maps for multiple range image registration
Computer Vision and Image Understanding
Efficient partial-surface registration for 3D objects
Computer Vision and Image Understanding
Analyzing DGI-BS: properties and performance under occlusion and noise
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
3D scene retrieval and recognition with Depth Gradient Images
Pattern Recognition Letters
Multiple range image registration by matching local log-polar range images
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Image-based registration of 3D-range data using feature surface elements
VAST'04 Proceedings of the 5th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
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The paper addresses the problem of 3D model reconstruction from overlapping triangulated range images. A technique for automatic matching of curved freeform surfaces exploiting curvilinear differential structures of the surfaces is presented. We propose a hybrid registration algorithm that combines advantages of working with small amounts of interest points (to attain computational speed), estimates the Euclidean transform matching both surfaces, and uses all available points and the iterative closest reciprocal point algorithm to refine the estimate and finally match surfaces (to attain high precision, good initial estimation avoids local minima). The method works in a bottom-up manner using the hierarchy: points → differential structures (i.e., curvilinear line segments) → surface. The registration is automatic. The only parameter set by the user is the required level of mean curvature. The approach is demonstrated through examples.