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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 洪一平 | |
| dc.contributor.author | Kuang-Yu Chang | en |
| dc.contributor.author | 張光佑 | zh_TW |
| dc.date.accessioned | 2021-06-16T10:13:57Z | - |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-19 | |
| dc.identifier.citation | [1] The FG-NET aging Database, available at http://www.fgnet.rsunit.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/60230 | - |
| dc.description.abstract | 如何讓電腦藉由觀察臉上的特徵來了解使用者的情緒與資訊是個基礎且重要的議題。在本論文中，我們針對人臉的年齡估計以及表情分析等題目進行研究與探討。在臉部年齡估計方面，與過去常見預測人臉影像年齡的方式不同，我們將年齡估計轉換為排序學習的問題，藉由成對式的比較將原本的年齡估計問題轉換為一連串的子問題，並且統整一連串子問題的結果來推論出人臉影像的真實年齡。我們提出了一個基於相對順序來估計人臉影像年齡的方法，藉由實驗結果的證明，顯示我們所提出的排序方法比一般常見的方法更準確。在臉部表情分析的研究上，過去的研究大多著重在表情類別辨識，在本論文中我們同時考慮了表情類別以及表情的強度，並且提出一個藉由單張人臉影像同時辨識表情類別以及估計表情強度的方法。過去的方法將不同表情之間的類別視為是互相獨立，我們的方法利用成本敏感學習同時考慮了不同表情類別之間的相對關係，以及相同表情類別下不同強度之間的關係。利用廣泛的實驗，我們證明所提出的方法與過去的方法相比不只可以達到最低的成本，同時有效的降低分類錯誤率。 | zh_TW |
| dc.description.abstract | Face image understanding is important in computer vision and pattern recognition. In this dissertation, two important topics in face image understanding are studied, age estimation and facial expression analysis. To estimate human ages based on face images, we convey age estimation into a ranking problem. Instead of predicting a person's age directly, we infer the exact age of a face image based on a series of comparisons. Our approach is designed based on relative order, and experimental results show that our method performs better than conventional approaches. In facial expression analysis, we consider further the intensity of facial expression, and focus on both expression category identification and intensity level estimation. We present a facial expression recognition approach that can also infer the expression intensity rank based on a single image. Instead of regarding the labels of expressions as independent to each other, our approach takes the inter-label relationship into consideration, which can estimate both the facial expression and intensity under a cost-sensitive setting. Experimental results show that our method can provide minimal-cost results and low misclassification rates compared to existing approaches. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T10:13:57Z (GMT). No. of bitstreams: 1 ntu-102-D95922023-1.pdf: 2378859 bytes, checksum: 13eebbf9111585a84feb32baf21134f3 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | Abstract vii
List of Figures xiii List of Tables xv 1 Introduction 1 1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2.1 Ranking Approach for Age Estimation . . . . . . . . . . . . . . . 3 1.2.2 Cost-Sensitive Facial Expression-Intensity Estimation . . . . . . 4 1.3 Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Ordinal Hyperplanes Ranker for Age Estimation 7 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.3 Ordinal Hyperplanes Ranker . . . . . . . . . . . . . . . . . . . . . . . . 12 2.3.1 Employing Relative Order Relationship Among Age Labels . . . 13 2.3.2 Cost-Sensitive Ordinal Hyperplanes Ranker . . . . . . . . . . . . 15 2.4 Scattering Transform for Facial Feature Extraction . . . . . . . . . . . . 20 2.4.1 Review of Scattering Transform Computation . . . . . . . . . . . 21 2.4.2 Facial Feature Extraction . . . . . . . . . . . . . . . . . . . . . . 23 2.5 Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.5.1 Database . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 2.5.2 Experiment Setup . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.5.3 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . 26 2.6 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 3 Cost-Sensitive Facial Expression Analysis 33 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.1.1 Ranking Levels for Facial Expression Intensity . . . . . . . . . . 34 3.1.2 Cost-Sensitive Learning for Facial Expressions . . . . . . . . . . 35 3.2 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 3.3 Label Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 3.4 Intensity Ranking Inference . . . . . . . . . . . . . . . . . . . . . . . . . 39 3.4.1 Facial Feature Extraction . . . . . . . . . . . . . . . . . . . . . . 39 3.4.2 Expression Intensity Ranking . . . . . . . . . . . . . . . . . . . 41 3.5 Expression Category Classification . . . . . . . . . . . . . . . . . . . . . 43 3.5.1 Cost Setting for Expression Categories . . . . . . . . . . . . . . 45 3.5.2 Expression Category Classification . . . . . . . . . . . . . . . . 48 3.6 Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 3.6.1 Database . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 3.6.2 Experiment Setup . . . . . . . . . . . . . . . . . . . . . . . . . . 50 3.6.3 Experimental Results . . . . . . . . . . . . . . . . . . . . . . . . 53 3.7 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 4 Conclusion and Discussion 59 5 Future Work 61 Bibliography 63 | |
| dc.language.iso | en | |
| dc.subject | 散射變換 | zh_TW |
| dc.subject | 表情強度估計 | zh_TW |
| dc.subject | 表情分析 | zh_TW |
| dc.subject | 成本敏感 | zh_TW |
| dc.subject | 序列排序 | zh_TW |
| dc.subject | 年齡估計 | zh_TW |
| dc.subject | cost sensitivities | en |
| dc.subject | scattering transform | en |
| dc.subject | Human age estimation | en |
| dc.subject | expression intensity estimation | en |
| dc.subject | ordinal ranking | en |
| dc.subject | facial expression analysis | en |
| dc.title | 基於人臉影像之年齡與表情強度估計 | zh_TW |
| dc.title | Age and Expression-intensity Estimation Based on Facial Images | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 博士 | |
| dc.contributor.coadvisor | 陳祝嵩 | |
| dc.contributor.oralexamcommittee | 黃春融,連震杰,李明穗,林惠勇,莊永裕 | |
| dc.subject.keyword | 年齡估計,序列排序,成本敏感,表情分析,表情強度估計,散射變換, | zh_TW |
| dc.subject.keyword | Human age estimation,ordinal ranking,cost sensitivities,facial expression analysis,expression intensity estimation,scattering transform, | en |
| dc.relation.page | 70 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-08-19 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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