Proceedings of the International Conference on Machine Vision and Applications最新文献

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Three-Dimensional Head Pose Estimation Using a Stereo Camera Arrangement 使用立体摄像机布置的三维头部姿态估计
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220522
Faleh Alqahtani, Jasmine Banks, V. Chandran, Jinglan Zhang
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引用次数: 2
Emotional and Cognitive Assessment of Use of Functional Animation 功能动画使用的情感和认知评估
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220516
J. Ma, Chun-Ching Chen, Yi-Chun Lin
{"title":"Emotional and Cognitive Assessment of Use of Functional Animation","authors":"J. Ma, Chun-Ching Chen, Yi-Chun Lin","doi":"10.1145/3220511.3220516","DOIUrl":"https://doi.org/10.1145/3220511.3220516","url":null,"abstract":"The animation transition in the interface can be divided into two parts: functional animation and delightful animation. In past studies, \"function\" and \"emotion\" are often viewed independently. This study is to, with functional transition effect as the research content, investigate whether the cognitive load generated by operation will affect the use of emotions. The author selects 4 experimental samples of animation transition that conform to this study, gets the emotive information in the way of combining the subject's actual operation and subjective questionnaire, and seek the association between cognitive load and emotion, and explore the emotional connection generated in the process of using different types of transitions. The experimental results show that the six faces in the cognitive load will respectively produce unequal connections with pleasure, arousal and dominance at the emotional level, and besides, there will exist emotional and cognitive differences due to different characteristics of animation transition.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130234980","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: 5
Benign and Malignant Solitary Pulmonary Nodules Classification Based on CNN and SVM 基于CNN和SVM的肺孤立结节良恶性分类
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220513
Liu Lu, Y. Liu, Hongyuan Zhao
{"title":"Benign and Malignant Solitary Pulmonary Nodules Classification Based on CNN and SVM","authors":"Liu Lu, Y. Liu, Hongyuan Zhao","doi":"10.1145/3220511.3220513","DOIUrl":"https://doi.org/10.1145/3220511.3220513","url":null,"abstract":"In order to assist the doctors to diagnose lung cancer and improve the classification accuracy of benign and malignant pulmonary nodules, this paper proposes a novel intelligent diagnosis model which is aiming at CT imaging features of pulmonary nodules. Specifically, this model uses the convolutional neural network to extract the features of the pulmonary nodules, then uses the principal component analysis to reduce the dimension of the extracted features, and finally classifies the final features with particle swarm optimization optimized SVM. With regard to the pulmonary nodules extracted from the LIDC-IDRI database, 400 pulmonary nodules are used for training and 310 pulmonary nodules are used for testing, the classification accuracy rate is 91.94%. This model can provide objective, convenient and efficient auxiliary method for solving the classification problem of benign and malignant pulmonary nodules in medical images.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124220623","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
Saliency-Guide Simplification for Point-Cloud Geometry 点云几何的显著性指南简化
Proceedings of the International Conference on Machine Vision and Applications Pub Date : 2018-04-23 DOI: 10.1145/3220511.3220523
Lixia Wang, Fei Wang, Feng Yan, Yu Guo
{"title":"Saliency-Guide Simplification for Point-Cloud Geometry","authors":"Lixia Wang, Fei Wang, Feng Yan, Yu Guo","doi":"10.1145/3220511.3220523","DOIUrl":"https://doi.org/10.1145/3220511.3220523","url":null,"abstract":"To efficiently simplify large-scale point clouds and keep geometric details as many as possible, we propose a novel operator guided by point-saliency. Firstly, we adopt a site entropy rate algorithm to calculate the saliency value which represents the significance of every point. Intuitively, the point of higher value should be retained. We introduce the saliency value as a weight term to locally optical projection (LOP) operator. What's more, we incorporate locally adaptive density weight into our operator to deal with the highly non-uniformed point clouds. Compared with other methods, our approach preserves more spatial information when down sample a point cloud to a certain number of points. Experimental results also show that our method is highly robust to noise and outliers.","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128042504","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
Proceedings of the International Conference on Machine Vision and Applications 机器视觉与应用国际会议论文集
{"title":"Proceedings of the International Conference on Machine Vision and Applications","authors":"","doi":"10.1145/3220511","DOIUrl":"https://doi.org/10.1145/3220511","url":null,"abstract":"","PeriodicalId":177319,"journal":{"name":"Proceedings of the International Conference on Machine Vision and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125176129","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
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