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研究生: 朱苓語
Chu, Ling-Yu
論文名稱: 基於單應性轉換與支持向量回歸之注視預測研究
Gaze Estimation Based on Homography Transformation and Support Vector Regression
指導教授: 李忠謀
Lee, Chung-Mou
口試委員: 方瓊瑤
Fang, Chiung-Yao
江政杰
Chiang, Cheng-Chieh
葉富豪
Yeh, Fu-Hao
李忠謀
Lee, Chung-Mou
口試日期: 2021/09/10
學位類別: 碩士
Master
系所名稱: 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 41
中文關鍵詞: 瞳孔中心偵測注視區域預測單應性轉換矩陣支持向量回歸
英文關鍵詞: Gaze estimation, Pupil center detection, Homography transformation matrix, Support Vector Regression
研究方法: 實驗設計法文件分析法
DOI URL: http://doi.org/10.6345/NTNU202101341
論文種類: 學術論文
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  • 摘要............................................................................................................................................. i Abstract ...................................................................................................................................... ii 圖附錄........................................................................................................................................ v 表附錄...................................................................................................................................... vii 第壹章 緒論........................................................................................................................ 1 1. 1 研究動機......................................................................................................................... 1 1. 2 研究目的 ........................................................................................................................ 2 1. 3 研究範圍與限制 ............................................................................................................ 2 第貳章 文獻探討................................................................................................................ 3 2. 1 注視點估計方法............................................................................................................. 3 2. 1. 1 Geometric-based Approaches ..................................................................................... 3 2. 1. 2 Feature-based Approaches .......................................................................................... 4 2. 1. 3 Appearance-based Approaches ................................................................................... 5 2. 2 瞳孔偵測方法 ................................................................................................................ 6 2. 2. 1 Template Matching Method ....................................................................................... 6 2. 2. 2 Feature-based Method ................................................................................................. 7 第參章 研究方法................................................................................................................ 8 3. 1 系統架構......................................................................................................................... 8 3. 2 資料前處理 .................................................................................................................... 9 3. 3 基於單應性轉換矩陣的眼動向量校正 ...................................................................... 11 3. 3. 1 計算瞳孔中心........................................................................................................... 12 3. 3. 2 設立面部參考點....................................................................................................... 15 3. 3. 3 計算單應性轉換矩陣............................................................................................... 16 3. 4 基於支持向量回歸的注視點補償模型....................................................................... 18 3. 4. 1 計算偏移向量數據................................................................................................... 19 3. 4. 2 支持向量回歸模型................................................................................................... 20 第肆章 實驗與結果討論.................................................................................................. 22 4. 1. 實驗數據收集方式 ..................................................................................................... 22 4. 2 瞳孔中心偵測實驗....................................................................................................... 23 4. 2. 1 實驗一 : 以CASIA資料庫評估瞳孔中心偵測演算法準確率 .............................. 23 4. 2. 2 實驗二 : 自行收集的受試者影像計算瞳孔中心偵測準確率 ............................... 25 4. 3 頭部移動對於注視區域預測分析實驗結果............................................................... 26 4. 3. 1 實驗一 : 數據的影像取樣數量對於注視區域預測影響 ....................................... 27 4. 3. 2 實驗二 : 頭部距離鏡頭遠近之注視預測準確度分析實驗 ................................... 28 4. 3. 3 實驗三 : 頭部移動幅度與注視區域準確率分析 ................................................... 31 4. 4 演算法評估 .................................................................................................................. 34 第伍章 結論及未來研究.................................................................................................. 36 5. 1 結論............................................................................................................................... 36 5. 2 應用............................................................................................................................... 36 5. 3 未來研究....................................................................................................................... 37 參考文獻.................................................................................................................................. 38

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