Applications to Pattern Matching Using Spectral Theory and Its Performance
نویسنده
چکیده
コンピュータビジョンにおいて画像の中から特定の パターンを探し出すパターンマッチングは基本的な処 理である.パターンマッチングには,2枚の画像の相関 値に基づく相関テンプレートマッチングや,画像の代 表的な特徴点同士を照合する特徴点マッチング [1], [2] が知られる. 相関テンプレートマッチングにおいては,対象物の 回転やスケール変化等に対応するために,姿勢の異な る複数のテンプレート画像を何度も照合を行う.一方 で,顔認証などでは多数のテンプレート画像を主成分 分析により圧縮して照合を行う固有顔法や,同様の考 えに基づく固有空間法が知られている [3]~[6].また, 近年では多数の画像を有限区間の直交多項式で近似す る方法も提案されている [7].このように多数枚の画像 を圧縮・近似して,テンプレートマッチングへ応用す ることは常套手段となっている. 一方で,SIFT (Scale Invariant Feature Transform) などの特徴点検出手法 [2], [8] においては,入
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تاریخ انتشار 2013