Statistical Appearance Models for Fast and Automated Estimation of Proximal Femur Fracture Risk Using Finite Element Models

Use of DXA-measured aBMD is the common method to predict osteoporotic hip fractures in clinical settings. However, taking only the changes in aBMD into consideration is not enough to explain the whole variety of low energy fractures. It is deemed essential to develop alternative methods that also reflect the influence of other parameters (e.g....

Action unit classification using active appearance models and conditional random fields

In this paper, we investigate to what extent modern computer vision and machine learning techniques can assist social psychology research by automatically recognizing facial expressions. To this end, we develop a system that automatically recognizes the action units defined in the facial action coding system (FACS). The system uses a...

Towards Robust Visual Speech Recognition: Automatic Systems for Lip Reading of Dutch

In the last two decades we witnessed a rapid increase of the computational power governed by Moore's Law. As a side effect, the affordability of cheaper and faster CPUs increased as well. Therefore, many new “smart” devices flooded the market and made informational systems widely spread. The number of users of information systems has also...

Capturing Appearance Variation in Active Appearance Models

The paper presents an extension of active appearance models (AAMs) that is better capable of dealing with the large variation in face appearance that is encountered in large multi-person face data sets. Instead of the traditional PCA-based texture model, our extended AAM employs a mixture of probabilistic PCA to describe texture variation,...