Scalable reconstruction and exploration of complex indoor environments



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

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