The creation of personalised 3D characters has evolved to provide a high degree of realism in both appearance and animation. Further to the creation of generic characters the capabilities exist to create a personalised character from images of an individual. This provides the possibility of immersing an individual into a virtual world. Feature detection, particularly on the face, can be used to...

In this project we propose a basic code for the RoboCup Soccer Standard Platform League for the Dutch Nao Team. We focused on the problem of visual feature recognition and the localization of the robot in a tournament setup. This project contains a detailed description of our implementation together with a conclusion and a brief evaluation. Since this report only covers feature detection and lo...

Detection and description of local features are a classical problem in image processing and multimedia content analysis. Based on the inhomogeneity of visual orientation in human visual system, we propose a novel algorithm S-SIFT to detect and describe local image features. In three stages of SSIFT, the information from the least discriminability orientation is omitting. Compared with the stand...

In recent years, production of text documents has seen an exponential growth, which is the reason why their proper classification seems necessary for better access. One of the main problems of classifying text documents is working in high-dimensional feature space. Feature Selection (FS) is one of the ways to reduce the number of text attributes. So, working with a great bulk of the feature spa...

Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...

This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the Gauss map is shown. Given an unstructured point cloud, this method computes a Gauss map clustering on local neighborhoods in order to discard all points that are unlikely to belong to a sharp feature. A single paramet...

We describe an algorithm for detecting human faces and facial features, such as the location of the eyes, nose, and mouth. First, a supervised pixel-based color classiier is employed to mark all pixels that are within a prespeciied distance of \skin color," which is computed from a training set of skin patches. This color-classiication map is then smoothed by Gibbs random eld model-based lters ...