The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust regression and outlier detection
Robust regression and outlier detection
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating 3-D location parameters using dual number quaternions
CVGIP: Image Understanding
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
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Rigid, affine and locally affine registration of free-form surfaces
International Journal of Computer Vision
Estimating 3-D rigid body transformations: a comparison of four major algorithms
Machine Vision and Applications - Special issue on performance evaluation
Simultaneous registration of multiple range views for use in reverse engineering of CAD models
Computer Vision and Image Understanding - Special issue on CAD-based computer vision
Generation of point-based 3D statistical shape models for anatomical objects
Computer Vision and Image Understanding - Special issue on analysis of volumetric image
Simultaneous registration of multiple corresponding point sets
Computer Vision and Image Understanding
A survey of free-form object representation and recognition techniques
Computer Vision and Image Understanding
ICP Registration Using Invariant Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of 3-D Rotation Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Solution for the Registration of Multiple 3D Point Sets Using Unit Quaternions
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Registration of Multiple Point Sets
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Constructing smooth branching surfaces from cross sections
Proceedings of the 2006 ACM symposium on Solid and physical modeling
G1-smooth branching surface construction from cross sections
Computer-Aided Design
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In biological imaging, three-dimensional (3D) reconstruction from serial sections is a powerful technique that produces graphical surface models of anatomical structures. Since any model is built from data gathered on a single animal, it is not statistically representative. To overcome this limitation, multiple 3D models must be registered and averaged. This paper describes a method that jointly registers and averages several 3D surface models. The algorithm iterates series of pairwise registrations between each model and the average of the remaining ones. The method has been tested on synthetic data and several sets of real neuroanatomical models. The results illustrate that the method is robust and converges rapidly. In practice, reconstructed 3D models generally contain the envelopes of several anatomical structures. Therefore, a generalized version of the algorithm is proposed that produces the average surface of each structure and globally registers all the structures. It is shown that the registration is more accurate when computed from the envelopes of several objects. Average 3D surface models upon which shape variability can be represented are obtained.