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- to develop multidisciplinary computational science investigations using cutting edge numerical methods, innovative data analysis algorithms, advanced low-cost high performance computing platforms;
- to enable distributed collaborative and virtual environments by developing system software technologies and tools.
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The Computer Vision and and Pattern Recognition group is a part of the Department of Applied Science at University of Naples "Parthenope".
The research envisaged covers a broad spectrum of issues related to:
- Pattern Recognition: the interest is mainly in investigating neural networks, bayesian and kernel methods both in methodological issues, e.g. learning and model selection, and applicative issues, as shape classification, event detection and classification and clustering, tracking, and video surveillance.
- Multimedia: the research is focused on image analysis and understanding aspects, which are at the basis of all advanced processing of multimedia data.
- 3D Computer Vision: the research covers aspects related to model acquisition, starting from 3D information acquired by optical cameras, investigating view synthesis aspects, mosaicing, and methods for improving computational 3D object recognition, like face in biometry.
Detailed research activities and publications are at link http://cvprlab.uniparthenope.it

Topography and Photogrammetry Laboratory, is a reasearch laboratory of Applied Science Department at University of Naples "Parthenope"- Italy, section of Geodesy, Topography and Hydrography, in which is carrying out educational activities and researchs about:
- production of semantic and metric data from digital images acquired by sensors like frame and linear sensors;
- the ground-air and terrestrial laser scanning aimed at building 3D models of terrain and objects at different scales.
The main application fields concern to the generation of DTMs from satellite images, classification and change detection, terrestrial photogrammetry for architecture, industrial applications, 3D models of objects for the cultural heritage, calibration of digital cameras. In the laboratory, some softwares for the automatic classification of aerial laser scanning data have been developed.
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