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Augmented reality (AR) has come a long way from a science-fiction concept to a science-based reality. AR is a view of the real, physical world in which the elements are enhanced by computer-generated inputs.
Prasanna V Ramesh +7 more
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51+12 pages, 21 figures; v2: typos corrected, references ...
Luis F. Alday +3 more
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Publisher Correction to: 3D Printing in Medicine, volume 5
Para
3D Printing in Medicine
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[Logiciel] Open source 3D viewer [PDF]
"Voyager is part of the Smithsonian’s Digitization Program Office’s 3D foundation pipeline.
Consortium 3D SHS Team
core
3D imaging, 3D printing and 3D virtual planning in endodontics [PDF]
The adoption and adaptation of recent advances in digital technology, such as three-dimensional (3D) printed objects and haptic simulators, in dentistry have influenced teaching and/or management of cases involving implant, craniofacial, maxillofacial, orthognathic and periodontal treatments.
Pratik Shah, B. S. Chong
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3D-FUTURE: 3D Furniture Shape with TextURE [PDF]
Project Page: https://tianchi.aliyun.com/specials/promotion/alibaba-3d ...
Huan Fu +6 more
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An Accelerated Multi-Modality Rehabilitation Protocol Combined with Botulinum Toxin-A Injection in Adult Idiopathic Toe Walking: Case Report [PDF]
Diagnosis of Adult Idiopathic Toe Walking (AITW) is very rare in clinical practice. High quality studies regarding AITW and its treatment options have not been conducted previously.
Sibel Kibar, Ferdi Yavuz, Birol Balaban
doaj +1 more source
Purpose Microscopic ophthalmic surgery requires an understanding of three-dimensional (3D) spaces within the eye. Recently, there has been an increase in 3D video training tools in health care.
Yuxi Zheng +7 more
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Land Administration practices worldwide rely mainly on 2D-based systems to define legal and other spatial boundaries related to land interests. However, the built environment is increasingly becoming spatially complex.
Eftychia Kalogianni +3 more
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On the Importance of 3D Surface Information for Remote Sensing Classification Tasks
There has been a surge in remote sensing machine learning applications that operate on data from active or passive sensors as well as multi-sensor combinations (Ma et al. (2019)). Despite this surge, however, there has been relatively little study on the
Jan Petrich +4 more
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