The curriculum and society

Through curricula, society expresses and determines its identity. The curriculum is always a more or less successful picture of what society was in the past, what it is now and what it wants to be in the future. A number of stakeholders and individuals cannot be indifferent to questions like: why, what and how to do it. The basic purpose of determinations (why), content (what) and methods (how) are a kind of a pedagogical vision of the future of a society and determine-that members of a society can be and what human potential can be developed. It largely depends on a successfully prepared curriculum. The question of which we will indulge in this paper is the culture of excellence in university teaching. Whether the quality of university teaching came to the level of metaphysics and became the essence of herself? Bologna process as a modern European trend is designed to cover effective models for teaching the student clearly knows what he teaches and learns why. Do we use models of motivation for academic achievement of students and teachers at universities in Macedonia? Is there a culture of quality? The results of the survey which included students in their final years and graduates as well as business community, showed that more than 60% of graduates have deficiencies in key professional working skills. More than 51% of students said they have not gained any practical skills during their studies. Young people in the region (1) does not possess the appropriate skills for employment, mainly skills that are listed by employers, and (2) there is no relationship between universities, students and society

Weitere Fortschritte in der Flachsgewinnung

Recognition in cluttered real world scenes is a challenging problem. To find a particular object of interest within a reasonable time, a wide field of view is preferable. However, as we will show with practical experiments, robust recognition is easier if the object is foveated and subtends a considerable partof the visual field. In this paper a binocular system able to overcome these two conflicting requirements will be presented. The system consists of two sets of cameras, a wide field pair and a foveal one. From disparities a number of object hypotheses are generated. An attentional process based on hue and 3D size guides the foveal cameras towards the most salient regions. With the object foveated and segmented in 3D, recognition is performed using scale invariant features. The system is fully automised and runs at real-time speed.QC 20120111</p

Action recognition and understanding using motor primitives

Abstract — We investigate modeling and recognition of arm manipulation actions of different levels of complexity. To model the process, we are using a combination of discriminative support vector machines and generative hidden Markov models. The experimental evaluation, performed with 10 people, investigates both definition and structure of primitive motions as well as the validity of the modeling approach taken. I

Real-Time Maintenance of Figure-Ground Segmentation

An approach to figure-ground segmentation based on a a 2-dimensional histogram in feature space is presented. The histogram is then analyzed with a peak-finding algorithm designed with realtime performance in mind. The most significant peaks in the histogram are backprojected to the image to produce an object mask

Recognition of Objects in the Real World from a Systems Perspective

Based on a discussion of the requirements for a vision system operating in the real world we present a real-time system that includes a set of behaviours that makes it capable of handling a series of typical tasks. The system is able to localise objects of interests based on multiple cues, attend to the objects and finally recognise them while they are in fixation. A particular aspect of the system concerns the use of 3D cues. We end by showing the system running in practice and present results highlighting the merits of 3D-based attention and segmentation and multiple cues for recognition.QC 20111213</p

Phenomenological Eigenfunctions for Image Irradiance

We present a framework for calculating low-dimensional bases to represent image irradiance from surfaces with isotropic reflectance under arbitrary illumination. By representing the illumination and the bidirectional reflectance distribution function (BRDF) in frequency space, a model for the image irradiance is derived. This model is then reduced in dimensionality by analytically constructing the principal component basis for all images given the variations in both the illumination and the surface material. The principal component basis are constructed in such a way that all the symmetries (Helmholtz reciprocity and isotropy) of the BRDF are preserved in the basis functions. Using the framework we calculate a basis using a database of natural illumination and the CURET database containing BRDFs of real world surface materials