Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion and Structure From Two Perspective Views: Algorithms, Error Analysis, and Error Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some Properties of the E Matrix in Two-View Motion Estimation
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
Computational projective geometry
CVGIP: Image Understanding
Geometric computation for machine vision
Geometric computation for machine vision
Statistical analysis of geometric computation
CVGIP: Image Understanding
Group Theoretical Methods in Image Understanding
Group Theoretical Methods in Image Understanding
Unbiased Estimation and Statistical Analysis of 3-D Rigid Motion from Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Framework for Uncertainty and Validation of 3-D RegistrationMethods Based on Points and Frames
International Journal of Computer Vision
Geometric Information Criterion for Model Selection
International Journal of Computer Vision
International Journal of Computer Vision
The Neural Solids; For optimization problems
Neural Processing Letters
A Frequency Domain Technique for Range Data Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Bootstrapping Errors-in-Variables Models
ICCV '99 Proceedings of the International Workshop on Vision Algorithms: Theory and Practice
Using Rigid Constraints to Analyse Motion Parameters from Two Sets of 3D Corresponding Point Pattern
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Multidimensional Integration: Partition and Conquer
Computing in Science and Engineering
First Order Error Propagation of the Procrustes Method for 3D Attitude Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Meshless deformations based on shape matching
ACM SIGGRAPH 2005 Papers
Joint registration and averaging of multiple 3D anatomical surface models
Computer Vision and Image Understanding
Capturing and animating skin deformation in human motion
ACM SIGGRAPH 2006 Papers
Global registration of multiple 3D point sets via optimization-on-a-manifold
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Optimisation-on-a-manifold for global registration of multiple 3D point sets
International Journal of Intelligent Systems Technologies and Applications
Epiflow-A paradigm for tracking stereo correspondences
Computer Vision and Image Understanding
Joint registration and averaging of multiple 3D anatomical surface models
Computer Vision and Image Understanding
Enhanced physically-based animation of deformable bodies using shape-matching
Computers in Entertainment (CIE) - SPECIAL ISSUE: Games
Bootstrap resampling for image registration uncertainty estimation without ground truth
IEEE Transactions on Image Processing
Image registration accuracy estimation without ground truth using bootstrap
CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
Iterative Estimation of Rigid-Body Transformations
Journal of Mathematical Imaging and Vision
Optimal computation of 3-D similarity: Gauss-Newton vs. Gauss-Helmert
Computational Statistics & Data Analysis
Stratified Generalized Procrustes Analysis
International Journal of Computer Vision
Decomposition and dictionary learning for 3D trajectories
Signal Processing
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Computational techniques for fitting a 3-D rotation to 3-D data are recapitulated in a refined form as minimization over proper rotations, extending three existing methods-the method of singular value decomposition, the method of polar decomposition, and the method of quaternion representation. Then, we describe the problem of 3-D motion estimation in this new light. Finally, we define the covariance matrix of a rotation and analyze the statistical behavior of errors in 3-D rotation fitting.