2013 | OriginalPaper | Buchkapitel
Camera Pose Estimation of a Smartphone at a Field without Interest Points
verfasst von : Ruiko Miyano, Takuya Inoue, Takuya Minagawa, Yuko Uematsu, Hideo Saito
Erschienen in: Computer Vision - ACCV 2012 Workshops
Verlag: Springer Berlin Heidelberg
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An Augmented Reality (AR) system on mobile phones has recently attracted attention because smartphones have increasingly been popular. For an AR system, we have to know a camera pose of a smartphone. A sensor-based method is one of the most popular ways to estimate the camera pose, but it cannot estimate an accurate pose. A vision-based method is another way to estimate the camera pose, but it is not suitable to a scene with few interest points such as a sports field. In this paper, we propose a novel method of a camera pose estimation for a scene without interest points by combining a sensor-based and a vision-based approach. In our proposed method, we use an acceleration and a magnetic sensor to roughly estimate a camera pose, then search the accurate pose by matching a captured image with a set of reference images. Our experiments show that our proposed method is accurate and fast enough to apply a real-time AR system.