標題: 自動眼睛偵測及眼鏡去除方法
Automatic Eye Detection and Glasses Removal
作者: 王聖文
Sheng-Wen Wang
張志永
Jyh-Yeong Chang
電控工程研究所
關鍵字: 眼睛偵測;眼鏡移除;臉部輪廓擷取;環狀頻率濾波器;膚色圖;Eye detection;Glasses removal;Face segmentation;Circle-frequency filter;Skin-color map
公開日期: 2003
摘要: 在本篇論文中,我們提出一演算法,使其能夠在一張人臉影像中偵測眼睛的位置,並且在該人臉有戴眼鏡時,去除眼鏡的干擾。此系統包含三個模組:臉部位置偵測,眼睛偵測,以及當受測者有戴眼鏡時,去除眼鏡的方法。首先,我們使用通用膚色圖偵測臉部區域,以確保在周遭光源條件變化時,仍有足夠的適應性。接著,採用在臉部傾向及旋轉上有良好不變性的環狀頻率濾波器,偵測眼睛區域。最後,由於眼鏡的普遍使用,提出以邊緣偵測及改良的模糊規則型式的濾波器,預測眼鏡區域的像素值。結果顯示,我們提出的方法在眼睛偵測是有效率的,並且在眼鏡去除上也能得到良好的品質。
This thesis addresses an algorithm to automatically detect the eye location from a given face image and remove the glasses while one has worn. Our system consists of three modules: face segmentation, eye detection, and eyeglasses removal while one has worn on eyeglasses. First, we use the universal skin-color map to detect the face regions, which can ensure sufficient adaptability to ambient lighting conditions. Then, a special filter, called circle-frequency filter, is used to locate the eye regions because of its invariant characteristic in wide face orientations and rotations. Finally, for the widely using of glasses, we proposed a novel method to remove the eyeglasses automatically based on edge detection and modified fuzzy rule-based (MFRB) filter. The simulation and results demonstrate that our approach detects eye location efficiently and demonstrates high fidelity to the non-wearing-glasses facial image after glasses removal.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT009112541
http://hdl.handle.net/11536/44946
顯示於類別:畢業論文


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