Pavlos Mavridis

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The employment of innovative forms of technology in the areas of art and entertainment is receiving significant attention from the research community in the context of evaluating new forms of expression. Recent developments in tangible interaction, pervasive sensing, wearable computing, and mobile communications bring about the potential to connect, in an(More)
A number of three-dimensional algorithms have been proposed to solve the problem of patching surfaces to rectify and extrapolate missing information due to model problems or bad geometry visibility during data capture. On the other hand, a number of similar yet more simple and robust techniques apply to 2D image data and are used for texture restoration. In(More)
Virtual environments have been valued as being extremely motivating for learners and therefore are employed as an innovative, more accessible framework to deliver education and entertainment to the public. Recent advances in creating videogame applications imbedded with effective learning principles, along with the evolution of human computer interfaces(More)
Due to recent improvements in 3D acquisition and shape processing technology, the digitization of Cultural Heritage (CH) artifacts is gaining increased application in context of archival and archaeological research. This increasing availability of acquisition technologies also implies a need for intelligent processing methods that can cope with imperfect(More)
Figure 1: Automatic reassembly of fractured cultural heritage objects from their parts using the proposed pipeline. Abstract The reassembly of fractured 3D objects from their parts is an important problem in cultural heritage and other domains. We approach reassembly from a geometric matching perspective and propose a pipeline for the automatic solution of(More)
In this paper we present a novel generic method for the fast and accurate computation of geometric features at multiple scales. The presented method works on arbitrarily complex models and operates in the parametric space. The majority of the existing methods compute local features directly on the geometric representation of the model. Our approach(More)