Photogrammetry is one of the optical methods that can be used to create a 3D digital model. It is becoming popular for the creation of 3D models of existing buildings as an effective method. Equipment for data acquisition for photogrammetry is significantly cheaper than equipment for 3D laser scanning. However, the process of data acquisition for photogrammetry can be a time-consuming process that may be necessary to measure for many reasons. Among these reasons belong the cost estimation or potential process optimization. The process of data acquisition for the creation of 3D models of an existing building using photogrammetry can be decomposed into many particular activities. Some of the activities are obvious, such as taking photos using a camera or taking photos using a drone, and some of the activities are less obvious and become evident after the analysis that requires observation of more instances of the data acquisition process. Each particular activity of the data acquisition process requires time resources, and it can be expected that the amount of time required can be influenced by many aspects. These can be characteristics of the building of which the 3D model will be created, the experience of the person who performs the activity, weather conditions, etc. To reveal the influences on the time resource requirements for the particular activities of the data acquisition process, several instances of the process activities must be measured, and the data of these measurements must be stored for further analyses. To store measured data about particular activities of the data acquisition process, the data structure must be designed. This data structure must be able to store the measured required time of particular data acquisition activities and also the aspects that may influence the time resource requirements for particular data acquisition activities. This paper describes the requirements for this data structure.

1.
M.
Dedic
, “
Evaluation of the processes of creating a project documentation of an existing building using a 3D scanner
, ” in
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management
, SGEM, vol.
19
, Issue
2.2
, pp.
127
132
,
2019
.
2.
M.
Dedic
, “
Utilization of Modern Optical Methods for Creation of Digital Model of Human
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
960
,
2020
.
3.
A.
Kankovsky
and
M.
Dedic
, “
A Solution of Wheelchair Accessibility in Existing Building – Apartment Building in Kraslice
” in
IOP Conference Series: Materials Science and Engineering
, vol.
960
(
4
),
2020
.
4.
M.
Dedic
, “
Assessment of the condition, cause and possible other defects on the wooden facąde of ThermoWood in terms of blackening the entire facade of the family house
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
603
,
2019
.
5.
M.
Dedic
, “
Disorders window openings-Family house in Lipno nad Vltavou
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
603
,
2019
.
6.
M.
Dedic
, “
Defects of roofing and roof structure-Apartment house Kaplice
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
603
,
2019
.
7.
M.
Dedic
, “
Analysis of Historical Residence on Terms of the Current State
,” in
IOP Conference Series: Materials Science and Engineering
,
471
(
8
),
2019
.
8.
M.
Dedic
and
A.
Kankovsky
, “
Disorders of the Green Roof of the Pool Lucenice
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
728
(
1
),
2020
.
9.
J.
Šál
and
M.
Dědič
, “
Application of Modeling Processes and 3D Print on Casting Molds for Concrete Furniture
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
728 (1
),
2020
.
10.
V.
Nývlt
, “
BIM within current building facilities and infrastructure
,” in
IOP Conference Series: Materials Science and Engineering
, vol.
972
,
2020
.
11.
K.
Prušková
, “
Reducing failures rate within the project documentation using Building Information Modelling, especially Level of Development
,” in
MATEC Web of Conferences
146 (2018): 9th International Scientific Conference Building Defects (Building Defects 2017), vol.
146
,
2018
.
12.
K.
Prušková
and
V.
Nývlt
, “
Issue of Building Information Modelling Implementation into the Czech Republic’s Legislation using the Level of Development
,” in
IOP Conference Series: Materials Science and Engineering
,
245
(
8
),
2017
.
13.
K.
Prušková
, “
Beginning of Real Wide us of BIM Technology in Czech Republic
,” in
IOP Conference Series: Materials Science and Engineering
,
471
(
10
),
2019
.
14.
V.
Nývlt
and
K.
Prušková
, “
Building Information Management as a Tool for Managing Knowledge throughout whole Building Life Cycle
,” in
IOP Conference Series: Materials Science and Engineering
,
245
(
4
),
2017
.
15.
V.
Nyvlt
and
R.
Novotny
, “
Ontology as a Tool for Building Life Cycle Modelling
,” in
IOP Conference Series: Materials Science and Engineering
,
471
,
2019
.
16.
V.
Nyvlt
and
R.
Novotny
, “
Sharing Knowledge and Information within BIM Life Cycle Processes
,” in
MATEC Web of Conferences
279 (2019): 10th International Scientific Conference Building Defects (Building Defects 2018), vol.
279
,
2019
.
17.
K.
Prušková
, “
BIM technology and changes in traditional design process, reliability of data from related registers
,” in
IOP Conference Series: Materials Science and Engineering
,
960
(
3
),
2020
.
18.
Z.
Kramářová
and
K.
Prušková
, “
Brownfield database in light of the BIM method
,” in
MATEC Web of Conferences
279 (2019): 10th International Scientific Conference Building Defects (Building Defects 2018), vol.
279
,
2019
.
19.
T.
Luhmann
,
S.
Robson
,
S.
Kyle
and
J.
Boehm
,
Close-Range Photogrammetry and 3D Imaging
(
De Gruyter, Inc
.,
Berlin
,
2013
), p.
2
. Available from: http://ebookcentral.proquest.com/lib/cvut/detail.action?docID=1563368
20.
Photogrammetry vs 3D Scanning
. available from: https://www.photomodeler.com/photogrammetry-vs-3d-scanning/
21.
M. J.
Westoby
,
J.
Brasington
,
N. F.
Glasser
,
M. J.
Hambrey
and
J. M.
Reynolds
, “
’Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications
”,
Geomorphology
,
2012
. available from:
22.
L. A.
Fonseca Moro
and J. L. “
Pérez Pavón, Study for the documentation of an engraving of Siega Verde (Salamanca, Spain) by low-cost photogrammetry with a mobile phone
”,
Digital Applications in Archaeology and Cultural Heritage
,
2021
. available from: https://www.sciencedirect.com/science/article/pii/S2212054821000163
23.
V.
Katsichti
,
G.
Kontogianni
and
A.
Georgopoulos
, “3D documentation of frail archaeological finds using low-cost instrumentation” in
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
, Volume
XLII-2/W17
, 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications, 2–3 December 2019,
Strasbourg
,
France
2019
, pp.
157
164
24.
S. T.
Porter
,
N.
Huber
,
Ch.
Hoyer
and
H.
Floss
, “Portable and low-cost solutions to the imaging of Paleolithic art objects: A comparison of photogrammetry and reflectance transformation imaging”,
Journal of Archaeological Science: Reports
, Volume
10
(
Elsevier Ltd
., December
2016
), pp.
859
863
This content is only available via PDF.
You do not currently have access to this content.