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Foot 3D Reconstruction and Measurement using Depth Data

Journal of Information Systems Engineering and Business Intelligence · Vol. 6 No. 1 (2020) · pp. 37–45

DOI
10.20473/jisebi.6.1.37-45
ISSN
2443-2555, 2598-6333
Published
2020-04-27
Publisher
Universitas Airlangga
Language
eng

Abstract

Background: The need for shoes with non-standard sizes is increasing, but this is not followed by the competence to measure the foot effectively. The high cost of such an instrument in the market has led to the development of a precise yet affordable measurement system.Objective: This research attempts to solve the measuring problem by employing an automatic instrument utilizing a depth image sensor that is available on the market at an affordable price.Methods: Data from several Realsense sensors that have been preprocessed are combined using transformation techniques and noise cleaning is performed afterward. Finally the 3D model of the foot is ready and hence the length and width can be obtained.Results: The experimental results show that the proposed method produces a measurement error of 0.351 cm in foot length, and 0.355 cm in foot width.Conclusion: The result shows that multiple angles of a static Realsense sensor can produce a good 3D foot model automatically. This proposed system configuration can reduce complexity as well as being an affordable solution.

Collaboration network of the authors

5 authors · 5 co-authorship links · 1 across different organisations

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  • Universitas Internasional Semen Indonesia
  • Institut Teknologi Sepuluh Nopember
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Taufiqotul BariyahUniversitas Internasional Semen Indonesia2
Tohari AhmadInstitut Teknologi Sepuluh Nopember1
Bahri RizaldiUniversitas Internasional Semen Indonesia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://e-journal.unair.ac.id/JISEBI/oai, first harvested 29 Okt 2026, last seen 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Foot 3D Reconstruction and Measurement using Depth Data</dc:title>
	<dc:creator>Pambudi, Doni Setio</dc:creator>
	<dc:creator>Hidayah, Lailatul</dc:creator>
	<dc:description xml:lang="en-US">Background: The need for shoes with non-standard sizes is increasing, but this is not followed by the competence to measure the foot effectively. The high cost of such an instrument in the market has led to the development of a precise yet affordable measurement system.Objective: This research attempts to solve the measuring problem by employing an automatic instrument utilizing a depth image sensor that is available on the market at an affordable price.Methods: Data from several Realsense sensors that have been preprocessed are combined using transformation techniques and noise cleaning is performed afterward. Finally the 3D model of the foot is ready and hence the length and width can be obtained.Results: The experimental results show that the proposed method produces a measurement error of 0.351 cm in foot length, and 0.355 cm in foot width.Conclusion: The result shows that multiple angles of a static Realsense sensor can produce a good 3D foot model automatically. This proposed system configuration can reduce complexity as well as being an affordable solution.  </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Airlangga</dc:publisher>
	<dc:date>2020-04-27</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://e-journal.unair.ac.id/JISEBI/article/view/18093</dc:identifier>
	<dc:identifier>10.20473/jisebi.6.1.37-45</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Information Systems Engineering and Business Intelligence; Vol. 6 No. 1 (2020): April; 37-45</dc:source>
	<dc:source>2443-2555</dc:source>
	<dc:source>2598-6333</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://e-journal.unair.ac.id/JISEBI/article/view/18093/10197</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 The Authors. Published by Universitas Airlangga</dc:rights>
</oai_dc:dc>