Scalable reconstruction and exploration of complex indoor environments
ESR03
Objectives
In collaboration with UZH, the fellow will study techniques to apply prior knowledge for the extraction of structured representation of multi-room environments from incomplete and noise sampling data. Methods for the representation and display of the recovered structures will be also studied.
Expected Results
Scientific publications and prototype implementation of indoor capture and exploration systems.
Host Institution
Supervisor: Dr. Enrico Gobbetti
CRS4, Visual Computing
PhD-Granting Institution
University of Cagliari