Feature models are a well-known concept to represent variability in software product lines. A feature model defines all features of a product line and their corresponding interdependencies. During software product line engineering, there arise situations that require the removal of certain features from a feature model such as feature-model evolution, information hiding, and feature-model analy...

Software variability management is a key challenge in developing software product lines and deriving products from the product line. In order to provide effective variability management and product derivation in software product lines, which is capable of being automated, certain fundamental building blocks are required. These include multiple product line views, the feature model as the unifyi...

Line is a very important primitive in computer graphics. In this paper we analyze and discussan algorithm that exploits the multi symmetry present in certain line segments during scan conversion. This feature is implemented with the simple technique of direct line equation; digital differentiation analyzer (DDA) algorithm and the floating-point operation free Bresenham's Algorithm. The ben...

Software product lines are the answer of software engineering to the increasing complexity and shorter time-to-market of contemporary software systems. Nonetheless, software product lines demand for advanced maintainability and high flexibility. The latter can be achieved through the proper separation of concerns. Features pose the main concerns in the context of software product lines. Consequ...

Product line models are important artefacts in product line engineering. One of the most popular languages to model the variability of a product line is the feature notation. Since the initial proposal of feature models in 1990, the notation has evolved in different aspects. One of the most important improvements allows specify the number of instances that a feature can have in a particular pro...

Rather than developing individual systems, Software Product Line Engineering develops families of systems. The members of the software family are distinguished by the features they implement and Feature Models (FMs) are the de facto standard for defining which feature combinations are considered valid members. This paper presents an algorithm to automatically extract a feature model from a set ...

In this paper we report on a system to extract 3D information from oriented digital facade images using various feature extraction/matching methods. We emphasize on 2D feature extraction from digital images including contour chains, line segments and vanishing points. The extraction of 3D primitives is based on line matching over multiple oriented views and 3D plane detection by a line grouping...

In this paper we report on a system to extract 3D information from oriented digital facade images using various feature extraction/matching methods. We emphasize on 2D feature extraction from digital images including contour chains, line segments and vanishing points. The extraction of 3D primitives is based on line matching over multiple oriented views and 3D plane detection by a line grouping...

For the representation of objects or scenes different representation forms are utilised. While for some tasks a point cloud representation or a triangulation of the point cloud is sufficient, a boundary representation or a wireframe model is necessary for other applications. For these the determination of feature lines is essential. In the past the generation of feature lines was a manual task....

The main idea is to formulate the tracking problem as a binary classification task and to achieve robustness by continuously updating the current classifier of the target object with respect to the current surrounding background. For this purpose we use an on-line AdaBoost feature selection algorithm [1] for tracking. The distinct advantage of the method is its capability of updating a model (c...