Optimizing camera placement in motion tracking systems
| Autor: | Kristóf Csorba, Gábor Tevesz, David Szaloki |
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| Předmět: |
Match moving
business.industry Camera auto-calibration Computer Science::Computer Vision and Pattern Recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Astrophysics::Instrumentation and Methods for Astrophysics Measure (physics) Computer vision Artificial intelligence Camera placement business Camera resectioning Mathematics |
| Zdroj: | Scopus-Elsevier ICINCO (2) |
| Popis: | This paper discusses the placement of cameras in order to achieve the highest possible localization accuracy. It is reached by using several cameras with redundant fields of views. A camera model is introduced and the components which cause the localization errors are identified. The localization accuracy measure is defined for one and for multiple cameras too. The problem of adding a new camera to the system in order to improve the accuracy is formulated. The method for finding the optimal placement of this new camera is presented. Some features are enumerated which can be applied for getting an advanced method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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