テクスチャー画像からオンライン生成されたテンプレートのマッチングに基づく拡張現実感のための位置合わせ手法(<特集>複合現実感2)

概要

論文の詳細を見る
In this paper, we propose a computer-vision based registration method for augmented reality based on template matching. Computer-vision tracking methods for augmented reality applications typically use special fiducial markers such as squares or circles. Our new method uses a black square fiducial to obtain the initial tracking condition, but does not use it in the iterative tracking phases. Several natural feature points are extracted from the tracked object by off-line image analysis. While tracking the object, some of these feature points are selected for template matching and the object pose and position are calculated. Even when the initial tracking square is no longer in view, our method produces robust tracking at real time frame rates.
日本バーチャルリアリティ学会の論文
2002-06-30