Principal component analysis with missing data and its application to object modeling.
Heung-Yeung ShumKatsushi IkeuchiRaj ReddyPublished in: CVPR (1994)
Keyphrases
- missing data
- object modeling
- principal component analysis
- three dimensional
- range images
- missing values
- principal components
- structure from motion
- incomplete data
- low rank
- dimensionality reduction
- matrix factorization
- face recognition
- object model
- object models
- dimension reduction
- low dimensional
- multiple imputation
- linear discriminant analysis
- face images
- feature space
- discriminant analysis
- databases
- training data
- random projections
- feature selection
- data sets