| _ | aam | _ |
|---|
| 3D Fast Automatic Segmentation of Kidney Based on Modified | aam | and Random Forest |
| aam | |
| aam | based face tracking with temporal matching and face segmentation |
| aam | Building |
| aam | Derived Face Representations for Robust Facial Action Recognition |
| aam | -based palm segmentation in unrestricted backgrounds and various postures for palmprint recognition |
| aam | : AN Assessment Metric of Axial Chromatic Aberration |
| Active Appearance Models: | aam | |
| ASM fitting method based on machine learning that provides a robust parameter initialization for | aam | fitting, An |
| Audio-Visual Speech Recognition Based on | aam | Parameter and Phoneme Analysis of Visual Feature |
| Automatic face annotation by multilinear | aam | with Missing Values |
| Automatic face interpretation using fast 3D illumination-based | aam | models |
| Automatic frontal face annotation and | aam | building for arbitrary expressions from a single frontal image only |
| Combining | aam | coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action units |
| effect of texture representations on | aam | performance, The |
| Extension of | aam | with 3D shape model for facial shape tracking |
| Face Alignment Using Segmentation and a Combined | aam | in a PTZ Camera |
| Face alignment via joint- | aam | |
| Face Recognition Across Pose with Automatic Estimation of Pose Parameters through | aam | -Based Landmarking |
| Face Recognition via | aam | and Multi-features Fusion on Riemannian Manifolds |
| GAGM- | aam | : A genetic optimization with Gaussian mixtures for Active Appearance Models |
| Gaze Estimation Using Regression Analysis and | aam | s Parameters Selected Based on Information Criterion |
| Hierarchical ASM/ | aam | Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition, A |
| Incremental Update of Linear Appearance Models and Its Application to | aam | : Incremental AAM |
| Incremental Update of Linear Appearance Models and Its Application to | aam | : Incremental AAM |
| Iterative Error Bound Minimisation for | aam | Alignment |
| Iterative Shape Refinement in | aam | |
| Kernel Similarity Based | aam | s for Face Recognition |
| Learning | aam | fitting through simulation |
| Lip Reading from Multi View Facial Images Using 3D- | aam | |
| Making 2D Face Recognition More Robust Using | aam | s for Pose Compensation |
| Monocular and Stereo Methods for | aam | Learning from Video |
| Multi-View | aam | Fitting and Camera Calibration |
| Multi-View | aam | Fitting and Construction |
| Natural facial expression recognition using differential- | aam | and manifold learning |
| Nonlinear Discriminative Approach to | aam | Fitting, A |
| Optimization Problems for Fast | aam | Fitting in-the-Wild |
| Person-independent face tracking based on dynamic | aam | selection |
| Photorealistic adaptation and interpolation of facial expressions using HMMS and | aam | S for audio-visual speech synthesis |
| Pools of | aam | s: Towards Automatically Fitting any Face Image |
| Pose robust face tracking by combining view-based | aam | s and temporal filters |
| Pose-Robust Facial Expression Recognition Using View-Based 2D+3D | aam | |
| Rank Minimization across Appearance and Shape for | aam | Ensemble Fitting |
| Real-Time 3D Face and Facial Action Tracking Using Extended 2D+3D | aam | s |
| Recovering 3D Shape and Albedo from a Face Image under Arbitrary Lighting and Pose by Using a 3D Illumination-Based | aam | Model |
| Robust | aam | Fitting by Fusion of Images and Disparity Data |
| Robust facial expression tracking based on composite constraints | aam | |
| Segmented | aam | s Improve Person-Indepedent Face Fitting |
| ST | aam | : Fitting a 2D+3D AAM to Stereo Images |
| Statistical Learning of Evaluation Function for ASM/ | aam | Image Alignment |
| Subspace analysis and optimization for | aam | based face alignment |
| Tensor-Based | aam | with Continuous Variation Estimation: Application to Variation-Robust Face Recognition |
| Toward an Efficient and Accurate | aam | Fitting on Appearance Varying Faces |
| Unified Approach for Combining ASM into | aam | , A |
| Unified Gradient-Based Approach for Combining ASM into | aam | , A |
| Vehicle dimensions estimation scheme using | aam | on stereoscopic video |
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