Multimodal and Flexible 3D Acquisition

ESR07

Objectives

Work on acquisition and processing of multimodal data coming from different sources characterized by strong differences in data density, noise and level of detail. Data integration is a strong challenge, since most state-of-the-art approaches cannot be applied. The candidate will focus on automatic alignment and merging of different input (considering both shape-related and reflection-related data). Flexible and easy to use methodologies for the acquisition of surface appearance will be devised. The proposed methods should be applied to real problems, with target areas Security/Monitoring and Cultural Heritage (including the use of UAVs).

Expected Results

Scientific publications and prototype implementation of methods for multimodal acquisition of geometry and reflectance.

Host Institution

Supervised by R. Scopigno
CNR-ISTI
Pisa, Italy

PhD Granting Institution

University of Pisa

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