Completing Facades: Difference between revisions

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== Introduction ==
== Introduction ==
Creating digital copies to preserve and understand historical objects and cities. Venice is a unique city. Photogrammetry uses images and scans to create models of real world objects and sites. Due to the nature of the technology there are often holes, missing regions and noise in the data.
Venice is a unique city with both cultural and historical significance. Digital copies of cities and historical cites allows us to preserve and understand them better. Photogrammetry is a technology that can be used to do this which uses images and scans to create models of real world objects and sites. However, due to the nature of the technology there are often holes, missing regions and noise in the data. This project aims to fill in holes in data of facades in Venice. For this 2D images from photogrammetry of Venice is used. The dataset includes completed and incomplete facades. To acheive this aim a method for detecting holes in facades is developed. Investigating if other data types improve reconstruction.
 
For this project 2D images from photogrammetry of Venice is used. This project aims to reconstruct facades in Venice. The dataset includes completed and incomplete facades.


== Project Timeline & Milestones ==
== Project Timeline & Milestones ==

Revision as of 11:18, 17 November 2024

Introduction

Venice is a unique city with both cultural and historical significance. Digital copies of cities and historical cites allows us to preserve and understand them better. Photogrammetry is a technology that can be used to do this which uses images and scans to create models of real world objects and sites. However, due to the nature of the technology there are often holes, missing regions and noise in the data. This project aims to fill in holes in data of facades in Venice. For this 2D images from photogrammetry of Venice is used. The dataset includes completed and incomplete facades. To acheive this aim a method for detecting holes in facades is developed. Investigating if other data types improve reconstruction.

Project Timeline & Milestones

Methodology

In order to fill the holes in the images they first need to be detected.

Creating training/validation data

Model for detecting holes

Results

Conclusion

Appendix

References