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<dc:date>2025</dc:date>
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<pdftext:text>Jar

Photogrammetry Report.
Component 1: Body

Image Data
Orientation Report
1.

Number of input data

148

2.

Registered images count

144/148

3.

Points count

111744

4.

Total projections

325157

5.

Average images per tie point

2.9

6.

Maximum reprojection error [pixels]

2.00

7.

Median reprojection error [pixels]

0.4

8.

Mean reprojection error [pixels]

0.54

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Fig. 1 – Composite 4 Views

Model Data
Poly Report
1.

High Poly Triangle count

24387948

2.

Low Poly Triangle count

74996

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Fig. 2 – High Poly

Fig. 3 – Low Poly

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Component 2: Lid

Image Data
Orientation Report
9.

Number of input data

185

10. Registered images count

185/185

11. Points count

300675

12. Total projections

1035249

13. Average images per tie point

3.4

14. Maximum reprojection error [pixels]

2.00

15. Median reprojection error [pixels]

0.37

16. Mean reprojection error [pixels]

0.49

Fig. 4 – Composite 4 Views

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Model Data
Poly Report
3.

High Poly Triangle count

14444214

4.

Low Poly Triangle count

74994

Fig. 5 – High Poly

Fig. 6 – Low Poly

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Texturing Report.
Roughness and Levels

Fig. 7 – Before texturing with SP

Fig. 8 – After texturing with SP

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Fig. 9 – Before texturing with SP

Fig. 10 – After texturing with SP

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Texture Correction

Fig. 11 – Before texturing with SP

Fig. 12 – After texturing with SP

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

PBR Textures

Fig. 3– AO, Diffuse, Normal (top), and Roughness (bottom) from jar

Fig. 3– AO, Diffuse, Normal (top), and Roughness (bottom) from lid

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Blender Report.
Rendering

Fig. 11 – Rendered image of the final model

Fig. 12 – Final model rendered in context

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Scaling
This process has been carried out following the size established in the Cer.es, so it may vary slightly.

Fig.13 – Different views of the 3D model showing, front, back, sides, bottom and top perspectives

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

Data Sheet.
Data

Jar
Site

Muséu del Pueblu d´Asturies / RDM1339

Origin

-

Creator

-

Technique

Wood carving

Material

Wood

Date

Ca. 1850-1900

Purpose of

Household ware; Dairy industry

Production
Size

12x17x11cm

Description
Called a Zapica, this jar was used to collect milk in mountainous areas. It is made of carved wood, with
most of the decoration concentrated on the lid, where a geometric sun composed of angular shapes can
be seen

CULTURALITY · This project has received funding by the European Union’s Horizon Europe research and innovation programme under
Grant Agreement No. 101132628

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