基於片段臉部動態影像之人臉確認

Abstract

本論文目的在建立一個臉部驗證系統，可由輸入一段臉部動態影確認身份。此驗證系統主要分成三個部份，第一部份去除不需要的背景資訊與抓取臉部區域，利用膚色與視訊片段的畫面差異來達到目標，其中膚色模組的建立不須經由額外資料的訓練，可由輸入影像自動產生；第二部份為臉部特徵點擷取，包含了如何找出臉部各個特徵的大概位置，並且引用AAM的方法找出較準確的對應點，其可利用額外資料訓練的資訊來處理亮度變化及三維空間變形的影響；第三部份為臉部確認，在未校正的情況下建立測試與資料庫的三度空間位置與兩者之間轉換，使用測試三維特徵點投影到資料庫二維影像上作確認。

The system proposed in this thesis uses a face motion video clip to perform face verification. This system consists of three parts.The first part is to separate the background from the face by using the frame difference technique and the imformation of skin color .This skin color model is constructed automatically from the training input viedo clip. The second step is to extract the facial feature points based on the AAM shape and appearance models built from the training image set .This method can resist the intensity change and image geometric variation.The final part is to verify the identity of the face.It reconstructs the 3D model without camera calibration and verifies the face identity by registering the facial feature points to the gallery face image through the 2D image projection of the 3D face model constructed.