Vision-based calibration of parallax barrier displays
| Autor: | Markus Gross, Nicola Ranieri |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Computer science
business.industry Parallax barrier ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Latency (audio) Stereoscopy Refresh rate law.invention Parallax occlusion mapping law Computer graphics (images) Calibration Computer vision Artificial intelligence business Parallax ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Static and dynamic parallax barrier displays became very popular over the past years. Especially for single viewer applications like tablets, phones and other hand-held devices, parallax barriers provide a convenient solution to render stereoscopic content. In our work we present a computer vision based calibration approach to relate image layer and barrier layer of parallax barrier displays with unknown display geometry for static or dynamic viewer positions using homographies. We provide the math and methods to compose the required homographies on the fly and present a way to compute the barrier without the need of any iteration. Our GPU implementation is stable and general and can be used to reduce latency and increase refresh rate of existing and upcoming barrier methods. |
| Databáze: | OpenAIRE |
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