Applied multivariate statistical analysis
Applied multivariate statistical analysis
Active shape models—their training and application
Computer Vision and Image Understanding
An eigenspace update algorithm for image analysis
Graphical Models and Image Processing
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Merging and Splitting Eigenspace Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Distance measures for PCA-based face recognition
Pattern Recognition Letters
An Information Fusion Framework for Robust Shape Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequential Karhunen-Loeve basis extraction and its application to images
IEEE Transactions on Image Processing
Adaptive active appearance models
IEEE Transactions on Image Processing
Multi-view face segmentation using fusion of statistical shape and appearance models
Computer Vision and Image Understanding
Video-based face model fitting using Adaptive Active Appearance Model
Image and Vision Computing
A review of active appearance models
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Active shape model based on sparse representation
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
| Hi-index | 0.14 |
This paper presents a framework for weighted fusion of several Active Shape and Active Appearance Models. The approach is based on the eigenspace fusion method proposed by Hall et al. [1], which has been extended to fuse more than two weighted eigenspaces using unbiased mean and covariance matrix estimates. To evaluate the performance of fusion, a comparative assessment on segmentation precision as well as facial verification tests are performed using the AR, EQUINOX, and XM2VTS databases. Based on the results, it is concluded that the fusion is useful when the model needs to be updated online or when the original observations are absent.