Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets.
Ali GooyaKarim LekadirIsaac Castro-MateosJosé María PozoAlejandro F. FrangiPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2018)
Keyphrases
- point sets
- principal components
- hausdorff distance
- point correspondences
- point pattern matching
- principal component analysis
- principal axes
- point cloud
- mixture model
- dimensionality reduction
- principal component regression
- pairwise
- convex hull
- iterative closest point algorithm
- point set registration
- unlabeled point sets
- probabilistic model
- gaussian mixture model
- distance function
- hyperplane
- expectation maximization
- affine registration
- data sets
- covariance matrix
- shape analysis
- shape descriptors
- boundary points
- icp algorithm
- multi view
- data points
- feature extraction
- three dimensional