在本篇論文中，我們提出了一個在多視角影像中進行前景切割的演算法。在我們的系統中，我們將目標物體放在一平面上，利用相機圍繞著目標物對著物體拍攝一系列的影像，在解決整個問題之前，我們系統有兩個最主要的假設：1) 前景目標物會在每張影像中完全的出現；2) 背景像素具有相同的平面投影轉換，換句話說，前景物體與背景區域有不同的轉換方式。首先，我們利用運動恢復結構方法來求得相機在不同視角下的參數，並且使用已求得的背景平面上的特徵點來計算不同視角影像之間的平面投影矩陣。利用以上的所得資訊和兩個主要假設，我們在前景切割這個主要步驟定義了一個能量方程式，其中我們使用了一些顏色距離的集合在區塊基礎之下，然後利用可信度傳遞的方法來將我們所定義的能量方程式最小化。當我們得到目標物在不同視角影像中的輪廓圖後，我們可以使用影像基礎視覺船體方法和Poisson物體表面重建方法來將目標物的三維模型建立出來。

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