Quantitative Estimation of Local Distortions in Historical Maps by Moving Least Squares Technique

• Item type: Journal(1)
• 公開日: 2024-12-15
• タイトル: Quantitative Estimation of Local Distortions in Historical Maps by Moving Least Squares Technique
• タイトル / 言語: en
• タイトル: Quantitative Estimation of Local Distortions in Historical Maps by Moving Least Squares Technique
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（テクニカルノート）] historical map, local distortion, rotation heuristics, implicit scaling, moving least squares
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Engineering Science, Akita University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering Science, Akita University
• 著者名: Takeshi, Miura
• 著者名(英): Takeshi, Miura
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: This paper proposes a method to quantitatively estimate the local-distortion characteristics in historical maps. First, the Euclidean regression technique is applied to a given historical map to fit its size, direction and location to those of a present map. Next, the moving least squares technique is used to formulate the relationship between the present map and the fitted historical map as a localized similarity-transformation function. The coefficients of the obtained function quantitatively and separately give the amounts of two main local-distortion processes at each local area: rotation heuristics and implicit scaling. The experimental results show the effectiveness of the proposed method.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.32(2024) (online); DOI http://dx.doi.org/10.2197/ipsjjip.32.1125; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: This paper proposes a method to quantitatively estimate the local-distortion characteristics in historical maps. First, the Euclidean regression technique is applied to a given historical map to fit its size, direction and location to those of a present map. Next, the moving least squares technique is used to formulate the relationship between the present map and the fitted historical map as a localized similarity-transformation function. The coefficients of the obtained function quantitatively and separately give the amounts of two main local-distortion processes at each local area: rotation heuristics and implicit scaling. The experimental results show the effectiveness of the proposed method.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.32(2024) (online); DOI http://dx.doi.org/10.2197/ipsjjip.32.1125; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 65, 号 12, 発行日 2024-12-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764
• 公開者 / 言語: ja
• 公開者 / 出版者: 情報処理学会