ランドマークデータベースに基づく静止画像からのカメラ位置・姿勢推定(「複合現実感4」特集)

概要

論文の詳細を見る
In this paper, we propose a novel method that estimates camera position and posture from a single image using a feature landmark database. Conventionally, several kinds of camera parameter estimation methods are proposed in which pre-constructed database is used to estimate the camera parameters. In the most of these methods, they achieve fast and high accurate estimation by limiting searching range for the database using the assumption that camera motion for successive image frames is small. However, if the input is a single image, these approaches do not work because there is no good initial parameter to limit the searching range for the database. In this research, we gradually limits the searching range for the landmark database by using GPS position, SIFT distance, and consistency of camera position and posture. The validity of the proposed method has been shown through experiments for an outdoor environment.
日本バーチャルリアリティ学会の論文
2008-06-30