基於魚眼鏡頭之相機校正及環場影像拼貼技術

許朝詠 ； 張志銘 ； 康立威 ； 傅汝鴻

《TANET2017 臺灣網際網路研討會》 2017年 (2017/10) Pp. 341-347

https://doi.org/10.6728/TANET.201710.0061

摘要

魚眼鏡頭是一種極端的廣角鏡頭，其視角可接近180度，比起一般鏡頭可擷取到更廣泛的資訊量，但取而代之的是拍攝出來的影像會有嚴重的畸變現象。本篇論文的目的在於校正魚眼鏡頭的畸變現象並將校正後的影像應用於環場影像。並透過俯視圖轉換讓影像拼貼可以應用在車用AVM(around view monitoring)系統。

關鍵字

魚眼鏡頭 ； 相機校正 ； 環場影像 ； 影像拼貼

並列摘要

Fish-eye lenses are common in several computer vision applications, such as four-camera surround view driver assistance, where a very wide angle (e.g., 180o) of view is available. Nevertheless, their applicability is usually limited by the lack of an accurate and easy-to-use calibration procedure. In this paper, we present a camera calibration method for fish-eye lenses and a panoramic image stitching framework for calibrated surround images. To achieve the calibration of fish-eye captured images, it only requires to observe a reference planar pattern once (e.g., chessboard) shown at a few different orientations, followed by offline performing homography estimation and save the related parameters. Each image can then be efficiently online transformed to the top-down view via the perspective transformation based on the estimated homography matrix. As a result, these surround images with top-down views can be stitched to generate the final panoramic image. It is expected that the proposed framework would be applicable to AVM (around view monitoring) system or ADAS (advanced driver assistance system) of vehicles in the future.

並列關鍵字

Fish-eye lenses ； panoramic image stitching ； homography estimation ； camera calibration