Virtual top-view camera calibration for accurate object representation
| Autor: | Vikram Appia, Alan C. Bovik, Janice Pan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Advanced driver assistance systems 02 engineering and technology Object (computer science) GeneralLiterature_MISCELLANEOUS Image (mathematics) Simple (abstract algebra) Computer graphics (images) 0202 electrical engineering electronic engineering information engineering Calibration 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Representation (mathematics) Mathematics Camera resectioning |
| Zdroj: | SSIAI |
| DOI: | 10.1109/ssiai.2016.7459165 |
| Popis: | Simple perspective transforms are used in Advanced Driver Assistance Systems (ADAS) in vehicles for converting captured images of lateral, front, and rear views into a synthesized top-view image, which displays the scene as viewed from above the vehicle. These transforms, however, are typically derived using a basic calibration procedure that is only capable of correctly mapping ground-plane points in captured images to their corresponding locations in the top-view image, and any off-the-ground points look distorted. We present a new method, which uses four orthogonally-placed fisheye cameras, for calibrating a top-view image, in which objects and off-the-ground points are accurately represented. |
| Databáze: | OpenAIRE |
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