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Mobi3DSketch: 3D Sketching in Mobile AR

Kin Chung Kwan, Hongbo Fu

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

426 Downloads (CityUHK Scholars)

Abstract

Mid-air 3D sketching has been mainly explored in Virtual Reality (VR) and typically requires special hardware for motion capture and immersive, stereoscopic displays. The recently developed motion tracking algorithms allow real-time tracking of mobile devices, and have enabled a few mobile applications for 3D sketching in Augmented Reality (AR). However, they are more suitable for making simple drawings only, since they do not consider special challenges with mobile AR 3D sketching, including the lack of stereo display, narrow field of view, and the coupling of 2D input, 3D input and display. To address these issues, we present Mobi3DSketch, which integrates multiple sources of inputs with tools, mainly different versions of 3D snapping and planar/curves surface proxies. Our multimodal interface supports both absolute and relative drawing, allowing easy creation of 3D concept designs in situ. The effectiveness and expressiveness of Mobi3DSketch are demonstrated via a pilot study.

Original languageEnglish
Title of host publicationCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Print)9781450359702
DOIs
Publication statusPublished - May 2019
Event2019 CHI Conference on Human Factors in Computing Systems (CHI 2019) - Glasgow, United Kingdom
Duration: 4 May 20199 May 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems (CHI 2019)
PlaceUnited Kingdom
CityGlasgow
Period4/05/199/05/19

Research Keywords

  • 3D concept design
  • 3D sketching
  • Augmented reality
  • Mid-air drawing
  • Mobile interaction
  • Relative drawing

Publisher's Copyright Statement

  • COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © ACM 2019. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, http://dx.doi.org/10.1145/3290605.3300406.

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  • GRF: Support-driven Shape Analysis

    FU, H. (Principal Investigator / Project Coordinator)

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