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Proceedings of the 1st International Conference on Control and Computer Vision最新文献

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A Novel Model for Compressed Sensing MRI via Smoothed ℓ1-Norm Regularization 基于光滑1-范数正则化的压缩感知MRI模型
Proceedings of the 1st International Conference on Control and Computer Vision Pub Date : 2018-06-15 DOI: 10.1145/3232651.3232658
Zhen Chen, Youjun Xiang, Yuli Fu, Junwei Xu
{"title":"A Novel Model for Compressed Sensing MRI via Smoothed ℓ1-Norm Regularization","authors":"Zhen Chen, Youjun Xiang, Yuli Fu, Junwei Xu","doi":"10.1145/3232651.3232658","DOIUrl":"https://doi.org/10.1145/3232651.3232658","url":null,"abstract":"Compressed sensing magnetic resonance imaging (CS-MRI) using ℓ1-norm minimization has been widely and successfully applied. However, ℓ1-norm minimization often leads to bias estimation and the solution is not as accurate as desired. In this paper, we propose a novel model for MR image reconstruction, which takes as a smoothed ℓ1-norm regularization model that is convex, has a unique solution. More specifically, we employ the logarithm function with the parameter in our optimization, and an iteration technique is developed to solve the proposed minimization problem for MR image reconstruction efficiently. The model is simple and effective in the solution procedure. Simulation results on normal brain image demonstrated that the performance of the proposed method was better than some traditional methods.","PeriodicalId":365064,"journal":{"name":"Proceedings of the 1st International Conference on Control and Computer Vision","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123902802","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
Facial Expression Recognition using 2D Stationary Wavelet Transform and Gray-Level Co-occurrence MatrixP@13-17 基于二维平稳小波变换和灰度共生的面部表情识别MatrixP@13-17
Proceedings of the 1st International Conference on Control and Computer Vision Pub Date : 2018-06-15 DOI: 10.1145/3232651.3232664
Nikunja Bihari Kar, Korra Sathya Babu
{"title":"Facial Expression Recognition using 2D Stationary Wavelet Transform and Gray-Level Co-occurrence MatrixP@13-17","authors":"Nikunja Bihari Kar, Korra Sathya Babu","doi":"10.1145/3232651.3232664","DOIUrl":"https://doi.org/10.1145/3232651.3232664","url":null,"abstract":"This paper presents an automated facial expression recognition (FER) system based on two dimensional stationary wavelet transform (2D-SWT) and gray-level co-occurrence matrix (GLCM). The proposed scheme employs 2D-SWT to decompose the image into a set of sub-bands. Then GLCM features are obtained from the 2D-SWT sub-bands. Subsequently, linear discriminant analysis (LDA) is harnessed to select the most relevant features. Finally, these features are used for classification of facial emotions using least squares variant of support vector machine (LS-SVM) with radial basis function (RBF) kernel. The performance of the pro-posed system is evaluated on two standard datasets namely, Extended Cohn-Kanade (CK+) and Japanese female facial expression (JAFFE). Experimental results based on 5-fold cross validation strategy indicate that the proposed scheme earns an accuracy of 96.72% and 99.79% over CK+ and JAFFE dataset respectively, which are superior to other competent schemes.","PeriodicalId":365064,"journal":{"name":"Proceedings of the 1st International Conference on Control and Computer Vision","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134550904","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: 2
Research on Unmanned Ship Simulation on the basis of Unity3d 基于Unity3d的无人船仿真研究
Proceedings of the 1st International Conference on Control and Computer Vision Pub Date : 2018-06-15 DOI: 10.1145/3232651.3232652
Shuo Wang, Jie Yang, R. Hu, Zhang Qingnian
{"title":"Research on Unmanned Ship Simulation on the basis of Unity3d","authors":"Shuo Wang, Jie Yang, R. Hu, Zhang Qingnian","doi":"10.1145/3232651.3232652","DOIUrl":"https://doi.org/10.1145/3232651.3232652","url":null,"abstract":"In order to study and learn unmanned ships, this paper designs and develops a simulation system of the inland river unmanned ships. Realistic visual scene models, which include valleys, peaks, bridges, reefs and buildings, are built by professional game engine software Unity3d and modeling software 3D Studio Max. Then C # programming language was used to write the program of environmental awareness and route planning of the ship. Finally, the simulation system of inland waterway unmanned ships was successful made. The inland river unmanned ship simulation system for unmanned ships is very meaningful research. The simulation system isn't affected by time and space, and it also reduces the risk of research.","PeriodicalId":365064,"journal":{"name":"Proceedings of the 1st International Conference on Control and Computer Vision","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126000974","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
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