Evaluation of Using Mobile Devices for 3D Reconstruction of Cultural Heritage Artifacts View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2018-12-13

AUTHORS

Răzvan Gabriel Boboc , Florin Gîrbacia , Cristian Cezar Postelnicu , Teodora Gîrbacia

ABSTRACT

This work aims to examine the reliability of smartphones that incorporate 3D depth sensors for 3D reconstruction of cultural heritage objects. The main focus is to compare the models generated with two image-based methods: photogrammetry and Tango Constructor application. The result are promising, showings that Tango-based method is an efficient way for 3D reconstruction of historical artifacts and is able to provide morphometric data comparable with photogrammetry-based data. The method can provide restorers a quick way to record vast amount of data, combined with sufficient accuracy and ease-of-use and this make it a potential alternative to conventional methods, like photogrammetry or laser scanning. More... »

PAGES

46-59

Book

TITLE

VR Technologies in Cultural Heritage

ISBN

978-3-030-05818-0
978-3-030-05819-7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-05819-7_5

DOI

http://dx.doi.org/10.1007/978-3-030-05819-7_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110555150


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Transilvania University of Brasov, 500036, Brasov, Romania", 
          "id": "http://www.grid.ac/institutes/grid.5120.6", 
          "name": [
            "Transilvania University of Brasov, 500036, Brasov, Romania"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boboc", 
        "givenName": "R\u0103zvan Gabriel", 
        "id": "sg:person.011106027375.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011106027375.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Transilvania University of Brasov, 500036, Brasov, Romania", 
          "id": "http://www.grid.ac/institutes/grid.5120.6", 
          "name": [
            "Transilvania University of Brasov, 500036, Brasov, Romania"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00eerbacia", 
        "givenName": "Florin", 
        "id": "sg:person.015502545151.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015502545151.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Transilvania University of Brasov, 500036, Brasov, Romania", 
          "id": "http://www.grid.ac/institutes/grid.5120.6", 
          "name": [
            "Transilvania University of Brasov, 500036, Brasov, Romania"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Postelnicu", 
        "givenName": "Cristian Cezar", 
        "id": "sg:person.012774612241.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012774612241.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Transilvania University of Brasov, 500036, Brasov, Romania", 
          "id": "http://www.grid.ac/institutes/grid.5120.6", 
          "name": [
            "Transilvania University of Brasov, 500036, Brasov, Romania"
          ], 
          "type": "Organization"
        }, 
        "familyName": "G\u00eerbacia", 
        "givenName": "Teodora", 
        "id": "sg:person.016700702665.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016700702665.20"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2018-12-13", 
    "datePublishedReg": "2018-12-13", 
    "description": "Abstract\nThis work aims to examine the reliability of smartphones that incorporate 3D depth sensors for 3D reconstruction of cultural heritage objects. The main focus is to compare the models generated with two image-based methods: photogrammetry and Tango Constructor application. The result are promising, showings that Tango-based method is an efficient way for 3D reconstruction of historical artifacts and is able to provide morphometric data comparable with photogrammetry-based data. The method can provide restorers a quick way to record vast amount of data, combined with sufficient accuracy and ease-of-use and this make it a potential alternative to conventional methods, like photogrammetry or laser scanning.", 
    "editor": [
      {
        "familyName": "Dugulean\u0103", 
        "givenName": "Mihai", 
        "type": "Person"
      }, 
      {
        "familyName": "Carrozzino", 
        "givenName": "Marcello", 
        "type": "Person"
      }, 
      {
        "familyName": "Gams", 
        "givenName": "Matja\u017e", 
        "type": "Person"
      }, 
      {
        "familyName": "Tanea", 
        "givenName": "Iulian", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-05819-7_5", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-030-05818-0", 
        "978-3-030-05819-7"
      ], 
      "name": "VR Technologies in Cultural Heritage", 
      "type": "Book"
    }, 
    "keywords": [
      "image-based method", 
      "cultural heritage artifacts", 
      "mobile devices", 
      "cultural heritage objects", 
      "depth sensor", 
      "heritage artefacts", 
      "vast amount", 
      "constructor applications", 
      "heritage objects", 
      "reliability of smartphones", 
      "efficient way", 
      "photogrammetry", 
      "quick way", 
      "laser scanning", 
      "main focus", 
      "smartphones", 
      "artifacts", 
      "conventional methods", 
      "historical artifacts", 
      "objects", 
      "reconstruction", 
      "method", 
      "sufficient accuracy", 
      "sensors", 
      "way", 
      "accuracy", 
      "data", 
      "applications", 
      "reliability", 
      "devices", 
      "ease", 
      "work", 
      "model", 
      "evaluation", 
      "Tango", 
      "use", 
      "focus", 
      "restorer", 
      "results", 
      "alternative", 
      "amount", 
      "scanning", 
      "showing", 
      "potential alternative", 
      "morphometric data", 
      "Tango Constructor application", 
      "photogrammetry-based data"
    ], 
    "name": "Evaluation of Using Mobile Devices for 3D Reconstruction of Cultural Heritage Artifacts", 
    "pagination": "46-59", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110555150"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-05819-7_5"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-05819-7_5", 
      "https://app.dimensions.ai/details/publication/pub.1110555150"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-01-01T19:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/chapter/chapter_217.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-030-05819-7_5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-05819-7_5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-05819-7_5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-05819-7_5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-05819-7_5'


 

This table displays all metadata directly associated to this object as RDF triples.

143 TRIPLES      23 PREDICATES      72 URIs      65 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-05819-7_5 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author Na5687d85f24a4a2997f80c987ca97616
4 schema:datePublished 2018-12-13
5 schema:datePublishedReg 2018-12-13
6 schema:description Abstract This work aims to examine the reliability of smartphones that incorporate 3D depth sensors for 3D reconstruction of cultural heritage objects. The main focus is to compare the models generated with two image-based methods: photogrammetry and Tango Constructor application. The result are promising, showings that Tango-based method is an efficient way for 3D reconstruction of historical artifacts and is able to provide morphometric data comparable with photogrammetry-based data. The method can provide restorers a quick way to record vast amount of data, combined with sufficient accuracy and ease-of-use and this make it a potential alternative to conventional methods, like photogrammetry or laser scanning.
7 schema:editor Nd76e04c7508641bf9c65e0e2b788d6d5
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree true
11 schema:isPartOf N0762aaa2cc3f40e8b46e1e150abe49bc
12 schema:keywords Tango
13 Tango Constructor application
14 accuracy
15 alternative
16 amount
17 applications
18 artifacts
19 constructor applications
20 conventional methods
21 cultural heritage artifacts
22 cultural heritage objects
23 data
24 depth sensor
25 devices
26 ease
27 efficient way
28 evaluation
29 focus
30 heritage artefacts
31 heritage objects
32 historical artifacts
33 image-based method
34 laser scanning
35 main focus
36 method
37 mobile devices
38 model
39 morphometric data
40 objects
41 photogrammetry
42 photogrammetry-based data
43 potential alternative
44 quick way
45 reconstruction
46 reliability
47 reliability of smartphones
48 restorer
49 results
50 scanning
51 sensors
52 showing
53 smartphones
54 sufficient accuracy
55 use
56 vast amount
57 way
58 work
59 schema:name Evaluation of Using Mobile Devices for 3D Reconstruction of Cultural Heritage Artifacts
60 schema:pagination 46-59
61 schema:productId N1b2a6f7b4cf04ba99cba2024931d0957
62 N47a90b14e5ee4cac850960f1c2ad8100
63 schema:publisher Na06295f3103f4f18883a726b01d99077
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110555150
65 https://doi.org/10.1007/978-3-030-05819-7_5
66 schema:sdDatePublished 2022-01-01T19:12
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N808f5fc7eb834a368abc2f892767599d
69 schema:url https://doi.org/10.1007/978-3-030-05819-7_5
70 sgo:license sg:explorer/license/
71 sgo:sdDataset chapters
72 rdf:type schema:Chapter
73 N057087a5394b4b7aab6949f4a0705c1f schema:familyName Duguleană
74 schema:givenName Mihai
75 rdf:type schema:Person
76 N0762aaa2cc3f40e8b46e1e150abe49bc schema:isbn 978-3-030-05818-0
77 978-3-030-05819-7
78 schema:name VR Technologies in Cultural Heritage
79 rdf:type schema:Book
80 N1186e9f8eade4180aafa4c82e966b280 schema:familyName Carrozzino
81 schema:givenName Marcello
82 rdf:type schema:Person
83 N1b2a6f7b4cf04ba99cba2024931d0957 schema:name dimensions_id
84 schema:value pub.1110555150
85 rdf:type schema:PropertyValue
86 N47a90b14e5ee4cac850960f1c2ad8100 schema:name doi
87 schema:value 10.1007/978-3-030-05819-7_5
88 rdf:type schema:PropertyValue
89 N527e78f062784d41b468a340d4384b88 rdf:first sg:person.015502545151.91
90 rdf:rest Nc51a80b083ac4c658e0acffcb2dd4e5c
91 N808f5fc7eb834a368abc2f892767599d schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 N8f2bdbcc5b894d868ed46f77b39ca78f rdf:first Ne9a9670a1a524412a7a280908a1125b4
94 rdf:rest Nd9fdb0f84ac94aada4d13b8d276d1926
95 N9b25b8da99a44d50bdab8df09950b6d4 schema:familyName Tanea
96 schema:givenName Iulian
97 rdf:type schema:Person
98 Na06295f3103f4f18883a726b01d99077 schema:name Springer Nature
99 rdf:type schema:Organisation
100 Na5687d85f24a4a2997f80c987ca97616 rdf:first sg:person.011106027375.48
101 rdf:rest N527e78f062784d41b468a340d4384b88
102 Nb9437d2340b44323a38dd6508d88317a rdf:first sg:person.016700702665.20
103 rdf:rest rdf:nil
104 Nc51a80b083ac4c658e0acffcb2dd4e5c rdf:first sg:person.012774612241.44
105 rdf:rest Nb9437d2340b44323a38dd6508d88317a
106 Nd76e04c7508641bf9c65e0e2b788d6d5 rdf:first N057087a5394b4b7aab6949f4a0705c1f
107 rdf:rest Nf75dcb0edc0e47a9b6aa306adb860c30
108 Nd9fdb0f84ac94aada4d13b8d276d1926 rdf:first N9b25b8da99a44d50bdab8df09950b6d4
109 rdf:rest rdf:nil
110 Ne9a9670a1a524412a7a280908a1125b4 schema:familyName Gams
111 schema:givenName Matjaž
112 rdf:type schema:Person
113 Nf75dcb0edc0e47a9b6aa306adb860c30 rdf:first N1186e9f8eade4180aafa4c82e966b280
114 rdf:rest N8f2bdbcc5b894d868ed46f77b39ca78f
115 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
116 schema:name Information and Computing Sciences
117 rdf:type schema:DefinedTerm
118 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
119 schema:name Artificial Intelligence and Image Processing
120 rdf:type schema:DefinedTerm
121 sg:person.011106027375.48 schema:affiliation grid-institutes:grid.5120.6
122 schema:familyName Boboc
123 schema:givenName Răzvan Gabriel
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011106027375.48
125 rdf:type schema:Person
126 sg:person.012774612241.44 schema:affiliation grid-institutes:grid.5120.6
127 schema:familyName Postelnicu
128 schema:givenName Cristian Cezar
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012774612241.44
130 rdf:type schema:Person
131 sg:person.015502545151.91 schema:affiliation grid-institutes:grid.5120.6
132 schema:familyName Gîrbacia
133 schema:givenName Florin
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015502545151.91
135 rdf:type schema:Person
136 sg:person.016700702665.20 schema:affiliation grid-institutes:grid.5120.6
137 schema:familyName Gîrbacia
138 schema:givenName Teodora
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016700702665.20
140 rdf:type schema:Person
141 grid-institutes:grid.5120.6 schema:alternateName Transilvania University of Brasov, 500036, Brasov, Romania
142 schema:name Transilvania University of Brasov, 500036, Brasov, Romania
143 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...