Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Synthesis of Novel Views from a Single Face Image
International Journal of Computer Vision
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Robust recognition using eigenimages
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition from one example view
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Model-based matching of line drawings by linear combinations of prototypes
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries
Vectorizing Face Images by Interleaving Shape and Texture Computations
Vectorizing Face Images by Interleaving Shape and Texture Computations
Face Recognition Based on Fitting a 3D Morphable Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
The CMU Pose, Illumination, and Expression Database
IEEE Transactions on Pattern Analysis and Machine Intelligence
Appearance-Based Face Recognition and Light-Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Based on Frontal Views Generated from Non-Frontal Images
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
3D Alignment of Face in a Single Image
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Component-wise pose normalization for pose-invariant face recognition
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Locally Linear Regression for Pose-Invariant Face Recognition
IEEE Transactions on Image Processing
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This paper proposes an efficient method to synthesize pose of an image. Pose synthesis is used to predict the face image with minimal error at a desired pose from a given pose. It is frequently required in many applications like production of animated movies, in forensic science and generation of 3D face geometry, etc. It uses principal component analysis (PCA) in conjunction with linear object classes (LOC) method (Vetter and Poggio, 1997). The face image of a pose is modelled as shape and texture vectors and the LOC method is applied on these two vectors of training set separately. The principal components of shape vector give a smaller number of significant dimensions along which the best linear approximation using LOC for the shape vector is calculated. Even though the given vector is approximated using only these dimensions, the error in approximation is significantly less compared to approximating pose image using all dimensions of shape vector. The proposed method is tested on CMU PIE face database and it is found to be significant improvement over the well known linear object classes method.