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dc.contributor.authorShirley, Tim
dc.contributor.authorPresnov, Dmitri
dc.contributor.authorKolb, Andreas
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-21T11:25:56Z-
dc.date.available2019-10-21T11:25:56Z-
dc.date.issued2019
dc.identifier.citationJournal of WSCG. 2018, vol. 26, no. 1, p. 67-74.en
dc.identifier.issn1213-6964 (on-line)
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.urihttp://hdl.handle.net/11025/35588
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectrekonstrukce scénycs
dc.subjectměření ránycs
dc.subjectstruktura z pohybucs
dc.subjectsegmentace objektůcs
dc.titleA Lightweight Approach to 3D Measurement of Chronic Woundsen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis paper presents a light-weight process for 3D reconstruction and measurement of chronic wounds using a commonly available smartphone as an image capturing device. The first stage of our measurement pipeline comprises the creation of a dense 3D point cloud using structure-from-motion (SfM). Furthermore, the wound area is segmented from the surrounding skin using dynamic thresholding in CIELAB color space and a surface is estimated to simulate the missing skin in the wound area. Together with a mesh reconstruction of the wound, the skin surface and the segmented wound is used to calculate the wound dimensions, i.e., its length, surface area and volume. We evaluate the presented pipeline using three wound phantoms, representing different stages in healing, and compare the subsequently scanned and measured wound dimensions with manually measured ones.en
dc.subject.translatedscene reconstructionen
dc.subject.translatedwound measurementen
dc.subject.translatedstructure-from-motionen
dc.subject.translatedobject segmentationen
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2019.27.1.8
dc.type.statusPeer-revieweden
Appears in Collections:Volume 27, Number 1 (2019)

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