會議論文
| 學年 | 97 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2008-11-21 |
| 作品名稱 | Face Detection Based on SVM Classification |
| 作品名稱（其他語言） | |
| 著者 | Lin, Hwei-Jen; Wang, Chun-Wei; Pai, I-Chun |
| 作品所屬單位 | 淡江大學資訊工程學系 |
| 出版者 | 臺北縣淡水鎮 : 淡江大學 |
| 會議名稱 | 第十三屆人工智慧與應用研討會=The 13th conference on artificial intelligence and applications |
| 會議地點 | 宜蘭縣, 臺灣 |
| 摘要 | This paper proposes an improved version of ourpreviously introduced face detection system based onskin color segmentation and neural networks. Thenew system, using a support vector machine (SVM)based method for learning and verification, consistsof several stages. First, the system searches for theregions where faces might exist by using skin colorinformation and forms a so-called skin map. Afterperforming noise removal and some morphologicaloperations on the skin map, it utilizes the aspect ratioof a face to find out possible face blocks, and theneye detection is carried out within each possible faceblock. If an eye pair is detected in a possible faceblock, a region is cropped according to the locationof the two eyes, which is called a face candidate;otherwise it is regarded as a non-face block. Finally,each of the face candidates is verified by a supportvector machine. Experimental results reflects that thenew version improves the verification accuracy of thepreviously proposed system. |
| 關鍵字 | Face detection;Skin color segmentation;RGB color space;HSV color space;Support vector machine (SVM) |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國內 |
| 校內研討會地點 | 蘭陽校園 |
| 研討會時間 | 20081121~20081122 |
| 通訊作者 | |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 紙本 |
| 出處 | 第十三屆人工智慧與應用研討會論文集=The 13th conference on artificial intelligence and applications, pp.158-164 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95855 ) |