Educaci??n pl??stica y visual : contenidos digitales del curr??culo para primero de ESO Regi??n de Murcia

Unidades did??cticas digitales adaptadas al curr??culo educativo de la Regi??n de Murcia que sirven de apoyo al profesor en el aula, al tiempo que fomentan la interacci??n con los alumnos a trav??s de la tecnolog??a. Est??n concebidas como recursos complementarios al libro de texto tradicional. La publicaci??n forma parte del proyecto AULA XXI cuyo objetivo es avanzar en la integraci??n plena de las TIC en el ??mbito educativo regional. Se incluyen actividades de aprendizaje din??micas que favorecen una actitud m??s activa del alumno en clase, a la vez que le proporciona una gu??a para seguir los contenidos de repaso o ampliaci??n a trav??s de sistemas de autoevaluaci??n.

The Use of Grouping in Visual Object Recognition.

The report describes a recognition system called GROPER, which performs grouping by using distance and relative orientation constraints that estimate the likelihood of different edges in an image coming from the same object. The thesis presents both a theoretical analysis of the grouping problem and a practical implementation of a grouping system. GROPER also uses an indexing module to allow it to make use of knowledge of different objects, any of which might appear in an image. We test GROPER by comparing it to a similar recognition system that does not use grouping.

Geometry and Photometry in 3D Visual Recognition

The report addresses the problem of visual recognition under two sources of variability: geometric and photometric. The geometric deals with the relation between 3D objects and their views under orthographic and perspective projection. The photometric deals with the relation between 3D matte objects and their images under changing illumination conditions. Taken together, an alignment-based method is presented for recognizing objects viewed from arbitrary viewing positions and illuminated by arbitrary settings of light sources.