顔器官抽出のための形状に基づく分裂型輪郭モデル

概要

論文の詳細を見る
The shape-constraint-based active contour model (SC-ACM), one of the Snakes, is robust against noise. However, an SC-ACM's extraction ability depends on initial contour locations so that it often fails to extract face features, because they are located too close to each other. Therefore, in order to resolve this problem, we use a splitting mechanism with the SC-ACM, whereby the proposed Snakes are split according to the difference between the results obtained by using the previous SC-ACM and other Snakes with an area term. The proposed Snakes with the splitting mechanism can extract every feature, even though the initial contour includes multiple objects. We simulated extracting face-features from TV news images of the upper part of an announcer maintaining a full face position. Our results show that the proposed method can extract each of the eyes with the brows and the mouth including its neighboring areas without getting trapped by other face features.
社団法人映像情報メディア学会の論文
2003-06-01