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dc.contributor.authorAhmad, Bilal
dc.contributor.authorFarup, Ivar
dc.contributor.authorFloor, Pål Anders
dc.date.accessioned2023-08-16T06:45:09Z
dc.date.available2023-08-16T06:45:09Z
dc.date.created2023-06-23T13:17:44Z
dc.date.issued2023
dc.identifier.issn0277-786X
dc.identifier.urihttps://hdl.handle.net/11250/3084282
dc.description.abstract3D shape reconstruction from images is an active topic in computer vision. Shape-from-Focus (SFF) is an important approach which requires image stack in a focus controlled manner to infer the 3D shape. In this article, 3D reconstruction of synthetic gastrointestinal regions is done using SFF. Image stack is generated in Blender software with focus controlled camera. A color focus measure is applied for shape recovery followed by a weighted L2 regularizer to estimate for inaccurate depth values. A precise comparison is done between recovered shape and ground truth data by measuring the depth error and correlation between them. Results shows that SFF technique will be practical for 3D reconstruction of GI regions with focus and motion controlled pillcams which is technologically feasible to implement.en_US
dc.language.isoengen_US
dc.publisherSPIEen_US
dc.title3D reconstruction of gastrointestinal regions using shape-from-focusen_US
dc.title.alternative3D reconstruction of gastrointestinal regions using shape-from-focusen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume12701en_US
dc.source.journalProceedings of SPIE, the International Society for Optical Engineeringen_US
dc.identifier.doi10.1117/12.2679345
dc.identifier.cristin2157498
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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