Abstract
Simulated mirror display systems (SMDs) provide augmented rendering of mirror images. Many SMDs use multiple static cameras to create viewpoint-dependent rendering. Unfortunately, the quality of the rendering around the face of the viewer is typically poor due to visual distortion from warping and camera view misalignment. We propose the RoboMirror SMD to provide high-quality mirror rendering of the frontal face by using a robotic camera to track the viewer's head. An inclined one-way mirror allows the viewer's face to be captured by the robotic camera, and reflects the output from a projector to the viewer. Novel mirror calibration and depth-based image warping are proposed to produce an accurate mirror rendering of all objects based on the perspective of the viewer. To compensate for the blockage of light by the oneway mirror, a channel-equalization based contrast enhancement scheme is proposed that outperforms other image enhancement schemes for this system.
Original language | English |
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Title of host publication | 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings |
Pages | 1734-1738 |
Number of pages | 5 |
ISBN (Electronic) | 9781467399616 |
DOIs | |
State | Published - Aug 3 2016 |
Event | 23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States Duration: Sep 25 2016 → Sep 28 2016 |
Publication series
Name | Proceedings - International Conference on Image Processing, ICIP |
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Volume | 2016-August |
ISSN (Print) | 1522-4880 |
Conference
Conference | 23rd IEEE International Conference on Image Processing, ICIP 2016 |
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Country/Territory | United States |
City | Phoenix |
Period | 9/25/16 → 9/28/16 |
Bibliographical note
Funding Information:This work was supported in part by the National Science Foundation under Grant 1237134.
Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Keywords
- Depth sensing
- One-way Mirror
- Robotic Camera
- See-through Display
- Simulated Mirror Display
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Signal Processing