Can Liquid Lenses Increase Depth of Field in Head Mounted Video See-Through Devices?

Video See-Through autofocus head mounted display liquid lenses magnification

Journal

Journal of imaging
ISSN: 2313-433X
Titre abrégé: J Imaging
Pays: Switzerland
ID NLM: 101698819

Informations de publication

Date de publication:
05 Aug 2021
Historique:
received: 13 05 2021
revised: 02 08 2021
accepted: 03 08 2021
entrez: 30 8 2021
pubmed: 31 8 2021
medline: 31 8 2021
Statut: epublish

Résumé

Wearable Video See-Through (VST) devices for Augmented Reality (AR) and for obtaining a Magnified View are taking hold in the medical and surgical fields. However, these devices are not yet usable in daily clinical practice, due to focusing problems and a limited depth of field. This study investigates the use of liquid-lens optics to create an autofocus system for wearable VST visors. The autofocus system is based on a Time of Flight (TOF) distance sensor and an active autofocus control system. The integrated autofocus system in the wearable VST viewers showed good potential in terms of providing rapid focus at various distances and a magnified view.

Identifiants

pubmed: 34460773
pii: jimaging7080138
doi: 10.3390/jimaging7080138
pmc: PMC8404927
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Grant Regione Toscana - PORCREO 2014-2020, Italian Ministry of Education and Research
ID : UltraVISTA
Organisme : Horizon 2020 Framework Programme
ID : 731974

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Références

Arch Plast Surg. 2013 Mar;40(2):104-8
pubmed: 23532716
J Physiol. 1957 Aug 6;137(3):488-508
pubmed: 13463783
Conf Proc IEEE Int Conf Syst Man Cybern. 2013;:1482-1487
pubmed: 24752457
J Hand Surg Am. 1997 Nov;22(6):967-74
pubmed: 9471062
Sensors (Basel). 2020 Mar 13;20(6):
pubmed: 32183212
J Am Acad Orthop Surg Glob Res Rev. 2018 Apr 13;2(4):e008
pubmed: 30211385
Atten Percept Psychophys. 2014 Feb;76(2):270-9
pubmed: 24374558
Ergonomics. 2010 Jul;53(7):892-903
pubmed: 20582770
Langmuir. 2010 Oct 5;26(19):15316-24
pubmed: 20809604
IEEE Trans Biomed Eng. 2020 Feb;67(2):411-419
pubmed: 31059421
IEEE Trans Vis Comput Graph. 2020 Nov 10;PP:
pubmed: 33170780
Vision Res. 2005 Jan;45(1):17-28
pubmed: 15571735
J Clin Med. 2020 Nov 05;9(11):
pubmed: 33167432
Dent Update. 2010 Nov;37(9):633-6
pubmed: 21179934
Med Educ. 2004 Dec;38(12):1217-8
pubmed: 15566531

Auteurs

Marina Carbone (M)

Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Davide Domeneghetti (D)

Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.

Fabrizio Cutolo (F)

Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Renzo D'Amato (R)

Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Emanuele Cigna (E)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Paolo Domenico Parchi (PD)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Marco Gesi (M)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Luca Morelli (L)

Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Mauro Ferrari (M)

EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Vincenzo Ferrari (V)

Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
EndoCAS Center, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56122 Pisa, Italy.

Classifications MeSH