Evaluation of interpolation methods for generating maps in cultural heritage chemical applications
Bibliographic Data
| ID | 4724322 |
|---|---|
| Authors | Domingo Martins (0000-0002-4088-0554, Universidad de Granada, corresponding author), Germán Arroyo (0000-0001-7229-5029, Universidad de Granada), Juan Ruiz De Miras (0000-0001-7579-8350, Universidad de Granada), Luis López (0000-0002-2582-9419), Luis Marı́a López González (0000-0001-5883-8832, Universidad de Granada), María Rosario Blanc (0000-0002-7820-9133, Universidad de Granada), Philippe Sarrazin (0000-0003-0598-7564), Juan Carlos Torres (0000-0002-1540-6375, Universidad de Granada) |
| Year | 2023 |
| Volume | 62 |
| Pages | 293-303 |
| Publication date | 2023-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Heritage (JOURNAL) |
| Journal identifiers | ISSN: 1296-2074 • E-ISSN: 1778-3674 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.culher.2023.06.004 |
| OpenAlex | W4381191204 |
| Language | EN |
| Citations received | 1 |
| References cited | 39 |
The different non-invasive techniques that have been developed for the study of works of art in Cultural Heritage have become an indispensable tool for researchers and practitioners. In particular, the creation of images showing the spatial distribution of chemical elements and pigments, called maps, helps give a better understanding of the artwork. While high-cost devices can measure the artwork at many positions with high resolution, the cheapest and most common devices are often used manually producing a small number of measurements. The solution is to use interpolation methods. In this article we present a statistical study of the feasibility of using interpolation, we discuss the accuracy of the results and propose the best solutions and a scheme of work. Additionally, we provide all the data developed and programs for future use
Archaeology · Bilinear interpolation · Computer vision · Cultural heritage · Data mining · Data science · Geography · Multivariate interpolation · 3D Surveying and Cultural Heritage · Computer Science · Conservation Techniques and Studies · Cultural Heritage Materials Analysis · Mathematics · Artificial Intelligence
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| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |