Abstract
Projection-based augmented reality systems overlay digital information directly on real objects, while at the same time use cameras to capture the scene information. A common problem with such systems is that cameras see the projected image besides the real objects to some degree. This crosstalk reduces the object detection and digital content registration abilities. The authors propose a novel time sharing-based technique that facilitates the real and digital content decoupling in real time without crosstalk. The proposed technique is based on time sequential operation between a MEMS scanner-based mobile projector and rolling shutter image sensor. A MEMS mirror-based projector scans light beam in raster pattern pixel by pixel and completes full frame projection over a refresh period, while a rolling shutter image sensor sequentially collects scene light row by row. In the proposed technique, the image sensor is synchronized with scanning MEMS mirror and precisely follows the display scanner with a half-period lag to make the displayed content completely invisible for camera. An experimental setup consisting of laser pico projector, an image sensor, and a delay and amplifier circuit is developed. The performance of proposed technique is evaluated by measuring the crosstalk in captured content and sensor exposure limit. The results show 0% crosstalk in captured content up to 8 ms sensor exposure. High capture frame rate (up to 45 fps) is achieved by cyclically triggering a 3.2 MP, 60 fps CMOS sensor and using a 60 Hz pico projector.
| Original language | English |
|---|---|
| Article number | jist0277 |
| Pages (from-to) | 54-59 |
| Number of pages | 6 |
| Journal | IS and T International Symposium on Electronic Imaging Science and Technology |
| Volume | 61 |
| DOIs | |
| Publication status | Published - Jan 2017 |
| Event | Engineering Reality of Virtual Reality 2017 - Burlingame, United States Duration: 29 Jan 2017 → 2 Feb 2017 |
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Software
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
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