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
Iterative point matching for registration of free-form curves and surfaces
International Journal of Computer Vision
A survey of free-form object representation and recognition techniques
Computer Vision and Image Understanding
Real-time 3D model acquisition
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Automatic three-dimensional modeling from reality
Automatic three-dimensional modeling from reality
A Fast Automatic Method for Registration of Partially-Overlapping Range Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Robust Alignment of Multi-view Range Data to CAD Model
SMI '06 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2006
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Point fingerprint: a new 3-D object representation scheme
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Morphological iterative closest point algorithm
IEEE Transactions on Image Processing
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Registering range images captured by 3D scanner and constructing a complete model of an object is frequently used in reverse engineering, computer game and animation, digital museum and digital heritage, etc. Many algorithms about registering the range images have been developed up to now. In this paper, a robust automated algorithm is presented based on surface characteristics extracting and matching techniques. The algorithm restores a set of point correspondences between every two adjacent range images without image position information or user interaction. Differential quantities are used as geometric descriptor and some other constraints are used to accelerate searching and matching processes and maintain result accuracy. After calculating the estimate of the rigid motion transformation between range images with selected point correspondences, a modified ICP algorithm is used to refine the result. The whole algorithm can be applied in many areas, especially in building the digital models of cultural artifacts and works of art.