2018 International Conference on Cyberworlds (CW)最新文献_第8页

Facial Expression Editing in Face Sketch Using Shape Space Theory 基于形状空间理论的人脸草图表情编辑

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00019

Chenlei Lv, Zhongke Wu, Xingce Wang, Dan Zhang, Xiangyuan Liu, Mingquan Zhou

{"title":"Facial Expression Editing in Face Sketch Using Shape Space Theory","authors":"Chenlei Lv, Zhongke Wu, Xingce Wang, Dan Zhang, Xiangyuan Liu, Mingquan Zhou","doi":"10.1109/CW.2018.00019","DOIUrl":"https://doi.org/10.1109/CW.2018.00019","url":null,"abstract":"Facial expression editing in face sketch is an important and challenging problem in computer vision community as facial animation and modeling. For criminal investigation and portrait drawing, automatic expression editing tools for face sketch improve work efficiency obviously and reduce professional requirements for users. In this paper, we propose a novel method for facial expression editing in face sketch using shape space theory. The new facial expressions in the sketch images can be regenerated automatically. The method includes two components: 1) face sketch modeling; 2) expression editing. The face sketch modeling constructs 3D face sketch data from 3D facial database to match the 2D face sketch. Using facial landmarks, the \"shape\" of the face sketch is represented in shape space. The shape space is a manifold space which removes the rigid transform group. In shape space, the accurate 3D face sketch model is obtained which is consistent to the original 2D face sketch. For expression editing, we change the parameters of 3D face sketch model in the shape space to obtain new expressions. The expression transfer in 3D face sketch model can be mapped into the 2D face sketch. The advantages of our method are: full-automatic in modeling process; no requirements of drawing skills to user and friendly interaction; robustness to head poses and different scales. In experiments, we use the 3D facial database, FaceWareHouse, to construct the 3D face sketch model and use face sketch images from database: CUHK Face sketch Database (CUFS) to show the performance of expression editing. Experimental results demonstrate that our method can effectively edit facial expressions in face sketch with high consistency and fidelity.","PeriodicalId":388539,"journal":{"name":"2018 International Conference on Cyberworlds (CW)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122662714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Towards Automatic Optical Inspection of Soldering Defects 焊接缺陷的自动光学检测研究

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00074

Wenting Dai, A. Mujeeb, Marius Erdt, A. Sourin

{"title":"Towards Automatic Optical Inspection of Soldering Defects","authors":"Wenting Dai, A. Mujeeb, Marius Erdt, A. Sourin","doi":"10.1109/CW.2018.00074","DOIUrl":"https://doi.org/10.1109/CW.2018.00074","url":null,"abstract":"This paper proposes a method for automatic image-based classification of solder joint defects in the context of Automatic Optical Inspection (AOI) of Printed Circuit Boards (PCBs). Machine learning-based approaches are frequently used for image-based inspection. However, a main challenge is to manually create sufficiently large labeled training databases to allow for high accuracy of defect detection. Creating such large training databases is time-consuming, expensive, and often unfeasible in industrial production settings. In order to address this problem, an active learning framework is proposed which starts with only a small labeled subset of training data. The labeled dataset is then enlarged step-by-step by combining K-means clustering with active user input to provide representative samples for the training of an SVM classifier. Evaluations on two databases with insufficient and shifting solder joints samples have shown that the proposed method achieved high accuracy while requiring only minimal user input. The results also demonstrated that the proposed method outperforms random and representative sampling by ~ 3.2% and ~ 2.7%, respectively, and it outperforms the uncertainty sampling method by ~ 0.5%.","PeriodicalId":388539,"journal":{"name":"2018 International Conference on Cyberworlds (CW)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124222713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Powering Up Attentional Focus: Validating a School-Based Deep Breathing Intervention with Mobile EEG—A Pilot Exploration 加强注意力集中:用移动脑电图验证基于学校的深呼吸干预-试点探索

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00051

Kiat Hui Khng, R. Mane

{"title":"Powering Up Attentional Focus: Validating a School-Based Deep Breathing Intervention with Mobile EEG—A Pilot Exploration","authors":"Kiat Hui Khng, R. Mane","doi":"10.1109/CW.2018.00051","DOIUrl":"https://doi.org/10.1109/CW.2018.00051","url":null,"abstract":"Electrophysiological and neuroimaging data are important sources of information for validating the efficacy or effects of interventions. Many interventions for children are carried out in the schools especially if they are educationally relevant. However, factors such as high costs and physical constraints have typically limited the use of electrophysiological and neuroimaging tools to laboratory settings. Despite their reduced capabilities, the appearance of low-cost, quick-to-set-up mobile equipment in recent years have renewed the possibility of applying such techniques to monitor effects in school-based interventions. The current study explores the utility of a low-cost, mobile electroencephalography (EEG) headset system in detecting neurophysiological effects of a school-based deep breathing intervention, found in a previous behavioral study to be efficacious in reducing self-reported state anxiety and enhancing test performance in children. As part of a larger pilot study, EEG, respiration, and behavioral data were collected from a group of right-handed 11-year-olds as they performed a flanker task of attentional focus twice, once with a deep breathing intervention and once without. Results from power spectral analyses suggest that the low-cost, low-resolution, mobile EEG system is able to detect power spectra differences associated with flanker interference and intervention effects.","PeriodicalId":388539,"journal":{"name":"2018 International Conference on Cyberworlds (CW)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127623930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computer-Aided Sugoroku Games in the Edo Period Using Interactive Techniques for Museum Exhibits 江户时代的计算机辅助Sugoroku游戏在博物馆展览中使用互动技术

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00033

A. Soga, Masahito Shiba, Takuzi Suzuki

引用次数: 2

Cross-Pocket Gait Recognition 交叉口袋步态识别

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00067

Patrick A. H. Bours, Thilo Denzer

引用次数: 0

Rhu Keystroke Touchscreen Benchmark Rhu按键触摸屏基准

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00072

Mohamad El-Abed, Mostafa Dafer, C. Rosenberger

引用次数: 4

An Appearance-Driven Method for Converting Polygon Soup Building Models for 3D Geospatial Applications 面向三维地理空间应用的多边形汤建筑模型转换的外观驱动方法

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00075

Kan Chen, H. Johan, Marius Erdt

引用次数: 1

[Copyright notice] (版权)

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/cw.2018.00003

引用次数: 0

What User Interface to Use for Virtual Reality? 2D, 3D or Speech–A User Study 虚拟现实使用什么样的用户界面?2D, 3D或语音用户研究

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00021

Y. Weib, Daniel Hepperle, Andreas Siess, Matthias Wölfel

引用次数: 8

Investigation on the Correlation between Eye Movement and Reaction Time under Mental Fatigue Influence 精神疲劳影响下眼动与反应时间的相关性研究

2018 International Conference on Cyberworlds (CW) Pub Date : 2018-10-01 DOI: 10.1109/CW.2018.00046

Vianney Renata, Fan Li, Ching-Hung Lee, Chun-Hsien Chen

引用次数: 9