Real-time Recognition of Facial Expression using Active Appearance Model with Second Order Minimization and Neural Network

2006 ◽  
Author(s):  
Hyun-Chul Choi ◽  
Se-Young Oh
Keyword(s):  
Neural Network ◽  
Facial Expression ◽  
Real Time ◽  
Second Order ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Active Appearance

scholarly journals Efficient Parallel Implementation of Active Appearance Model Fitting Algorithm on GPU

2014 ◽  
Vol 2014 ◽  
pp. 1-13
Author(s):  
Jinwei Wang ◽  
Xirong Ma ◽  
Yuanping Zhu ◽  
Jizhou Sun
Keyword(s):  
Real Time ◽  
Graphics Processing Units ◽  
Parallel Implementation ◽  
Model Fitting ◽  
Parallel Architecture ◽  
High Dimensional ◽  
Appearance Model ◽  
Active Appearance Model ◽  
Fitting Algorithm ◽  
Active Appearance

The active appearance model (AAM) is one of the most powerful model-based object detecting and tracking methods which has been widely used in various situations. However, the high-dimensional texture representation causes very time-consuming computations, which makes the AAM difficult to apply to real-time systems. The emergence of modern graphics processing units (GPUs) that feature a many-core, fine-grained parallel architecture provides new and promising solutions to overcome the computational challenge. In this paper, we propose an efficient parallel implementation of the AAM fitting algorithm on GPUs. Our design idea is fine grain parallelism in which we distribute the texture data of the AAM, in pixels, to thousands of parallel GPU threads for processing, which makes the algorithm fit better into the GPU architecture. We implement our algorithm using the compute unified device architecture (CUDA) on the Nvidia’s GTX 650 GPU, which has the latest Kepler architecture. To compare the performance of our algorithm with different data sizes, we built sixteen face AAM models of different dimensional textures. The experiment results show that our parallel AAM fitting algorithm can achieve real-time performance for videos even on very high-dimensional textures.

scholarly journals Real-time 3D face tracking based on active appearance model constrained by depth data

2014 ◽  
Vol 32 (11) ◽  
pp. 860-869 ◽  
Author(s):  
Nikolai Smolyanskiy ◽  
Christian Huitema ◽  
Lin Liang ◽  
Sean Eron Anderson
Keyword(s):  
Real Time ◽  
Face Tracking ◽  
Appearance Model ◽  
Active Appearance Model ◽  
3D Face ◽  
Depth Data ◽  
3D Face Tracking ◽  
Active Appearance
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