臺灣博碩士論文加值系統

近年來，膚色偵測是電腦視覺研究裡一門相當重要的技術之一，且膚色偵測已廣泛應用在許多人臉偵測或自動監控系統中。但是光源的影響一直是膚色偵測技術中主要挑戰，在不同光源照射下，皮膚所反應的顏色也會有所改變，這會導致系統誤判率提高。因此，本論文提出一個以高斯混合模型為基礎之色彩恆常性演算法，我們利用高斯混合模型建立不同光源下色域的機率分佈，並找出影像中之光源並校正該影像以提高膚色偵測正確率。於本實驗中，實驗使用「A Data Set for Color Research」資料庫、CMU PIE人臉資料庫及自行建立的人臉影像，並透過合成光源法產生論文實驗影像。在實驗結果裡本論文所提出方法能夠有效的校正影像，且抵抗不同背景的影響。

Computer vision has become one of the most important research topics for intelligent system. Skin color detection is one critical approach to detect objects due to its robustness to rotation, scale change, shape variation, and occlusion. The challenge of skin detection is that the skin appearance in images is easily affected by various illuminants. In this paper, a color constancy method is proposed for skin color detection. The method represents the probability distributions of color gamuts of different illuminants find the illuminant of an image by computing correlation of color gamuts, and correct the image by compensating the color gain of the illuminant. In the experiments, we use the “A Data Set for Color Research database”, “CMU PIE face database” and the face images captured by ourselves. Synthesized-illuminated images are used to train the GMM color constancy method. In the experiment results, our method can correct the image effectively compared with gray world, white patch, and color by correlation methods, and robust to environmental changes.

摘要.....................................................................................................................................i
英文摘要.............................................................................................................................ii
誌謝...................................................................................................................................iii
目錄...................................................................................................................................iv
表目錄................................................................................................................................v
圖目錄................................................................................................................................vi
第1 章 簡介.......................................................................................................................1
1.1 研究背景..................................................................................................................1
1.2 研究動機..................................................................................................................4
1.3 論文架構..................................................................................................................5
第2 章 傳統色彩恆常性演算法.......................................................................................7
2.1 灰界假設演算法(Gray World Assumption，GWA) ..............................................7
2.2 白色區塊法(White Patch)........................................................................................8
2.3 Retinex 演算法.........................................................................................................9
2.4 色域對應演算法(Gamut Mapping Algorithm，GMA) ........................................11
第3 章 GMM Color Constancy .......................................................................................12
3.1 Color by correlation 演算法....................................................................................12
3.2 高斯混合模型(Gaussian Mixture Model，GMM) ...............................................15
3.2.1 期望最大演算法(Expectation-Maximization Algorithm，EM) ....................16
第4 章 具抗光源變化的膚色偵測.................................................................................18
第5 章 實驗結果.............................................................................................................22
5.1 色彩恆常性方法比較............................................................................................25
5.1.1 GMM color constancy 索引色域的訓練.........................................................25
5.1.2 索引色域色度空間的比較.............................................................................26
5.2 不同光源下人臉影像中的膚色偵測....................................................................27
5.2.1 GMM color constancy 索引色域的訓練.........................................................28
5.2.2 GMM 膚色分類器的訓練...............................................................................32
5.2.3 膚色偵測結果的評估.....................................................................................34
5.2.4 不同色彩恆常性方法的膚色偵測比較.........................................................35
第6 章 結論.....................................................................................................................41
參考文獻...........................................................................................................................42

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