アフィン変換と相関によるKanade-Lucas特徴点追跡法の特徴点対応付け精度の改善(<論文小特集>3次元映像情報メディア技術)

スポンサーリンク

概要

• 論文の詳細を見る

• The Kanade-Lucas (KL) feature tracker is one of the better matching methods. However it fails to find corresponding points of two images when image motion is quite large. We propose the feature point matching method, making use of affine transformation and correlation so that the KL method works well for large image motion. First, the KL method is used for matching points. Some points are matched well, other points are mismatched or failed to be matched. Second, correlation of two matched points between the first and the second image obtained by the KL method is used to discriminate between well matched points and badly matched points. If the correlation coefficient is lower than a specified threshold, it is regarded as an outlier. Third, all the points to be matched in the first image are transformed on the second image by affine transformation of well matched points alone. However, all the transformed points from the first image to the second image are not well matched well due to the movement of the image. The role of affine transformation is to reduce the computation time and the number of mismatching points by designating only a small searching area around the transformed point. Finally, correlation is used to find the best matching point around the transformed point. Real image data has been used to test the proposed method, and excellent results have been obtained with an average error of 0.811 pixels.

• 一般社団法人映像情報メディア学会の論文
• 2002-04-01

著者

• Mukai Toshiharu

  Bio-mimetic Control Research Center The Institute Of Physical And Chemical Research (riken)

• Shim Joon

  Department Of Information Engineering Nagoya University

• Takeuchi Yoshinori

  Center for Information Media Studies, Nagoya University

• Ohnishi Noboru

  Center for Information Media Studies, Nagoya University

関連論文

• Relating Audio-Visual Events Caused by Multiple Movements: In the Case of Entire Object Movement and Sound Location Change (特集:電気関係学会東海支部連合大会)
• Scrub Nurse Robot for Laparoscopic Surgery
• アフィン変換と相関によるKanade-Lucas特徴点追跡法の特徴点対応付け精度の改善(3次元映像情報メディア技術)
• Fusion of 3D Shapes in Multiple View Points to Obtain More Accurate Shape (特集:電気関係学会東海支部連合大会)

スポンサーリンク