Evaluation of Drop Shadows for Virtual Object Grasping in Augmented Reality
- Submitting institution
-
Birmingham City University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11Z_OP_D2004
- Type
- D - Journal article
- DOI
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10.1109/mcg.2020.2991839
- Title of journal
- IEEE Computer Graphics and Applications
- Article number
- -
- First page
- 10
- Volume
- 40
- Issue
- 4
- ISSN
- 0272-1716
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2020
- URL
-
https://ieeexplore.ieee.org/document/9084269
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This article presents the first evaluation of rendered drop shadows in Augmented Reality (AR) and how they effect freehand interaction. The results showcased that depth estimation significantly improved depth estimation in AR. Depth estimation is a fundamental issue in AR as showcased by 10.1109/ISMAR.2017.28.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -