Abstract

We summarize a series of recent research results made at Edinburgh University based on applying domain knowledge of standard shapes and relationships to solve or improve architectural reconstruction problems. The problems considered are how to enforce known relationships when data fitting, how to extract features even in very noisy data, how to get better shape parameter estimates and how to infer data about unseen features.

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