Principal Component Analysis with Missing Data and Its Application to Polyhedral Object Modeling.
Heung-Yeung ShumKatsushi IkeuchiRaj ReddyPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1995)
Keyphrases
- missing data
- object modeling
- principal component analysis
- three dimensional
- range images
- missing values
- principal components
- dimensionality reduction
- structure from motion
- object models
- dimension reduction
- low rank
- linear discriminant analysis
- matrix factorization
- discriminant analysis
- object model
- multiple imputation
- feature extraction
- face images
- incomplete data
- low dimensional
- missing information
- face recognition
- multi view
- feature space
- data sets
- image content
- singular value decomposition
- high dimensional data
- linear combination
- small number
- random projections