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Graphics and Human Computer Interfaces Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Audio detection (1)
- Augmented Reality (1)
- HCI (1)
- Head-mounted display (1)
- Human Computer Interaction (1)
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- Light Field Compression (1)
- Light Field Data Compression (1)
- Light Field Refocusing (1)
- Light Field Simulation (1)
- Machine Learning (1)
- Machine learning based Light Field Refocusing (1)
- Mixed Reality (1)
- Plenoptic Camera Simulation (1)
- Smart Glasses (1)
- Surface Interaction (1)
- Text Entry (1)
- Wearable Microphone (1)
Articles 1 - 2 of 2
Full-Text Articles in Graphics and Human Computer Interfaces
Light Field Compression And Manipulation Via Residual Convolutional Neural Network, Eisa Hedayati
Light Field Compression And Manipulation Via Residual Convolutional Neural Network, Eisa Hedayati
Dissertations, Master's Theses and Master's Reports
Light field (LF) imaging has gained significant attention due to its recent success in microscopy, 3-dimensional (3D) displaying and rendering, augmented and virtual reality usage. Postprocessing of LF enables us to extract more information from a scene compared to traditional cameras. However, the use of LF is still a research novelty because of the current limitations in capturing high-resolution LF in all of its four dimensions. While researchers are actively improving methods of capturing high-resolution LF's, using simulation, it is possible to explore a high-quality captured LF's properties. The immediate concerns following the LF capture are its storage and processing …
Detecting Surface Interactions Via A Wearable Microphone To Improve Augmented Reality Text Entry, R. Habibi
Detecting Surface Interactions Via A Wearable Microphone To Improve Augmented Reality Text Entry, R. Habibi
Dissertations, Master's Theses and Master's Reports
This thesis investigates whether we can detect and distinguish between surface interaction events such as tapping or swiping using a wearable mic from a surface. Also, what are the advantages of new text entry methods such as tapping with two fingers simultaneously to enter capital letters and punctuation? For this purpose, we conducted a remote study to collect audio and video of three different ways people might interact with a surface. We also built a CNN classifier to detect taps. Our results show that we can detect and distinguish between surface interaction events such as tap or swipe via a …