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Aiming at the problem in facial feature location, the Active Shape Models algorithm has no evaluable criterion to judge its convergence, and tend to run into local minimum when using the fixed search scale, and how to choose the scale is always an issue. This paper presents a method based on the whole shape gray grads to evaluate the search effects, and an improved search policy of multiscale. The...
Active shape models (ASM) is one of powerful tools for feature extraction. A new method to construct local appearance model is developed using the information of neighbor landmark points in this paper. This improved method is evaluated on ORL face database, and the experimental results show that the improved ASM improves the accuracy of features extraction.
Active shape model (ASM) has been widely accepted as one of the best methods for image understanding. In this paper, we propose to improve ASM by introducing Procrustes analysis technique in the matching of feature landmark points of a set of training images and strengthening the edge in searching face profile. Firstly, each landmark point labeled manually is matched by its local profile in its current...
In recent years, the increased use of simulation for the training of surgical skills has improved the medical curriculum and the overall patient outcome. Advances in hardware and simulation techniques have resulted in many commercial applications for training technical skills. However, most of these simulators are extremely expensive and do not consider non-technical skills like teamwork and communication...
This paper presents a 3D face photography system based on a small set of training facial range images. The training set is composed by 2D texture and 3D range images (i.e. geometry) of a single subject with different facial expressions. The basic idea behind the method is to create texture and geometry spaces based on the training set and transformations to go from one space to the other. The main...
The combination of biometric matching scores can be enhanced by taking into account the matching scores related to all enrolled persons in addition to traditional combinations utilizing only matching scores related to a single person. Identification models take into account the dependence between matching scores assigned to different persons and can be used for such enhancement. In this paper we compare...
3D face recognition(s) systems improve current 2D image-based approaches, but in general they are required to deal with larger amounts of data. Therefore, a compact representation of 3D faces is often crucial for a better manipulation of data, in the context of 3D face applications such as smart card identity verification systems. We propose a new compact 3D representation by focusing on the most...
Face alignment seeks to deform a face model to match it with the features of the image of a face by optimizing an appropriate cost function. We propose a new face model that is aligned by maximizing a score function, which we learn from training data, and that we impose to be concave. We show that this problem can be reduced to learning a classifier that is able to say whether or not by switching...
Computer users with visual impairment cannot access the rich graphical contents in print or digital media unless relying on visual-to-tactile conversion, which is done primarily by human specialists. Automated approaches to this conversion are an emerging research field, in which currently only simple graphics such as diagrams are handled. This paper proposes a systematic method for automatically...
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extracting appearance parameters from a natural image or video sequence, which allow reproduction of natural looking expressive synthetic faces. This technique was used to perform face synthesis and tracking in video sequences as...
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