The Geometric Documentation of Painted Surfaces

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Creator: 

Dhanda, Abhijit

Date: 

2019

Abstract: 

Digital documentation for the conservation of 2.5D painted surfaces requires high-resolution data. Geometric detail information can provide insight into the brushwork or condition of a painting, can be used for monitoring, to create facsimiles, or for valorization purposes. The issue with geometric documentation lies in its democratization; commercial systems are expensive. This thesis explores the use of data fusion to achieve high-resolution detail documentation (less than 100 um lateral spatial resolution) at a low-cost. The data fusion combines two image-based methods: photogrammetry and photometric stereo. An optimal result can be achieved by fusing the relevant frequencies from both methods. A case study comparing photogrammetry, photometric stereo, data fusion, and data from a triangulation-based scanner showed that the data fusion improves the results of the photogrammetry and photometric stereo but is inferior when compared to the triangulation-based scanner. Data fusion is a good low-cost alternative to expensive commercial methods.

Subject: 

Engineering - Civil
Optics
Computer Science

Language: 

English

Publisher: 

Carleton University

Thesis Degree Name: 

Master of Applied Science: 
M.App.Sc.

Thesis Degree Level: 

Master's

Thesis Degree Discipline: 

Engineering, Civil

Parent Collection: 

Theses and Dissertations

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