Feature models are widely used for modelling variability present in a Software Product Line family. We propose using cardinality-based feature models and clonable features to model and manage the evolution of the structural variability present in pervasive systems, composed by a large variety of heterogeneous devices. The use of clonable features increases the expressiveness of feature models, ...

-This paper proposes a method for line matching based on invariance of feature points. Firstly, feature points are roughly matched by Normalized Cross Correlation (NNC) and Average of Square Difference (ASD). Additionally, feature points obtained from the two views are grouped into matched point pairs. Finally, curve segments between matched point pairs are matched by dynamic programming algori...

We present a new robust line matching algorithm for solving the model-to-image registration problem. Given a model consisting of 3D lines and a cluttered perspective image of this model, the algorithm simultaneously estimates the pose of the model and the correspondences of model lines to image lines. The algorithm combines softassign for determining correspondences and POSIT for determining po...

 An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  Online training of neuroline...

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...

Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...