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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
相關次數：	點閱：47 下載：0
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摘要............................................................................................................................................. i
Abstract ...................................................................................................................................... ii
圖附錄........................................................................................................................................ v
表附錄...................................................................................................................................... vii

第壹章 緒論........................................................................................................................ 1
1 研究動機......................................................................................................................... 1
2 研究目的 ........................................................................................................................ 2
3 研究範圍與限制 ............................................................................................................ 2

第貳章 文獻探討................................................................................................................ 3
1 注視點估計方法............................................................................................................. 3
1. 1 Geometric-based Approaches ..................................................................................... 3
1. 2 Feature-based Approaches .......................................................................................... 4
1. 3 Appearance-based Approaches ................................................................................... 5
2 瞳孔偵測方法 ................................................................................................................ 6
2. 1 Template Matching Method ....................................................................................... 6
2. 2 Feature-based Method ................................................................................................. 7

第參章 研究方法................................................................................................................ 8
1 系統架構......................................................................................................................... 8
2 資料前處理 .................................................................................................................... 9
3 基於單應性轉換矩陣的眼動向量校正 ...................................................................... 11
3. 1 計算瞳孔中心........................................................................................................... 12
3. 2 設立面部參考點....................................................................................................... 15
3. 3 計算單應性轉換矩陣............................................................................................... 16
4 基於支持向量回歸的注視點補償模型....................................................................... 18
4. 1 計算偏移向量數據................................................................................................... 19
4. 2 支持向量回歸模型................................................................................................... 20

第肆章 實驗與結果討論.................................................................................................. 22
1. 實驗數據收集方式 ..................................................................................................... 22
2 瞳孔中心偵測實驗....................................................................................................... 23
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
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
3 頭部移動對於注視區域預測分析實驗結果............................................................... 26
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
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
3. 3 實驗三 : 頭部移動幅度與注視區域準確率分析 ................................................... 31
4 演算法評估 .................................................................................................................. 34

第伍章 結論及未來研究.................................................................................................. 36
1 結論............................................................................................................................... 36
2 應用............................................................................................................................... 36
3 未來研究....................................................................................................................... 37

參考文獻.................................................................................................................................. 38
                                

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