Proceedings of the 2nd International Conference on Vision, Image and Signal Processing最新文献_第6页

WLAN-based Location Monitoring System in Confined Workspaces 基于无线局域网的受限工作空间位置监控系统

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271621

Byeongcheol Moon, Dongsoo Han

引用次数: 0

A Deep Dual-Branch Networks for Joint Blind Motion Deblurring and Super-Resolution 联合盲运动去模糊和超分辨率的深度双分支网络

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271554

Xinyi Zhang, Fei Wang, Hang Dong, Yu Guo

引用次数: 3

Uniform Classifier for Biometric Ear and Retina Authentication Using Smartphone Application 基于智能手机应用的生物识别耳朵和视网膜认证统一分类器

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271618

Abhinand Poosarala, R. Jayashree

引用次数: 3

Monocular 3D Reconstruction of Multiple Non-Rigid Objects by Union of Non-linear Spatial-Temporal Subspaces 基于非线性时空子空间并集的多非刚体单目三维重建

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271600

Yuandong Gu, Fei Wang, Yanan Chen, Xuan Wang

{"title":"Monocular 3D Reconstruction of Multiple Non-Rigid Objects by Union of Non-linear Spatial-Temporal Subspaces","authors":"Yuandong Gu, Fei Wang, Yanan Chen, Xuan Wang","doi":"10.1145/3271553.3271600","DOIUrl":"https://doi.org/10.1145/3271553.3271600","url":null,"abstract":"Non-rigid structure from motion (NRSFM) is an ill-posed problem and has attracted lots of attention in computer vision. Because the NRSfM is ill-posed, a variety of priors, such as the low-rank shape basis, isometric constraints and the low-rank representation, have been employed to make the problem solvable. However, when multiple non-rigid objects are taken into account, the problem becomes more challenging. In such a difficult case, modelling the point trajectories as a union of linear spatial and temporal subspaces via low-rank representation techniques is an effective attempt. Nevertheless, the linear low-rank representation technique is not good at modelling the heavily non-linear variation of the data in both spatial and temporal. In NRSfM, it stands for more complex deformation and shape configuration. In this paper, we propose an approach to solve this problem. Relying on the kernelized low-rank representation technique, we model the point trajectories as a union of nonlinear subspaces and formulate the reconstruction as an optimization problem which can be solved by alternating direction multiplier method (ADMM). Benefitting from the union of nonlinear subspaces model, our method produces the more accurate reconstructions against the state-of-the-art methods on several sequences from CMU MoCap datasets.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129438026","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

Artificial Intelligence in Simple Command: Miposaur Product in Indonesia 人工智能在简单的命令:Miposaur产品在印度尼西亚

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271568

Sovian Aritonang, Tatar Bonar, J. Francoise

引用次数: 0

Colorization of Mountainous Landscape Images in Grayscale Using Texture Feature Analysis 基于纹理特征分析的灰度山区景观图像着色

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271573

Ji Maan Kim, Xiaozheng Zhang

引用次数: 0

Subway Stop/Departure Detection using a Magnetic Sensor of the Smartphone 利用智能手机的磁传感器进行地铁站/站检测

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271614

Hoon Shin, Gunwoo Lee, Dongsoo Han

{"title":"Subway Stop/Departure Detection using a Magnetic Sensor of the Smartphone","authors":"Hoon Shin, Gunwoo Lee, Dongsoo Han","doi":"10.1145/3271553.3271614","DOIUrl":"https://doi.org/10.1145/3271553.3271614","url":null,"abstract":"Wi-Fi-based indoor positioning has an advantage that it can be utilized without additional equipment, unlike other methods requiring additional infrastructure. Especially, Wi-Fi fingerprint-based positioning methods using signal specificity are used in various indoor location services because they provide a relatively high indoor location recognition accuracy. Although Wi-Fi-based indoor positioning is superior to other technologies in terms of ease of implementation and positioning accuracy, stable positioning is not guaranteed due to unstable Wi-Fi signal characteristics in the various real environment. Recently, as a part of efforts to supplement the Wi-Fi-based positioning system, researches on positioning method using a geomagnetic field are being spotlighted. This can be considered as a sign that users who demand location-based service has increased. Positioning method using a geomagnetic field can be applied to various areas. Geomagnetic field-based positioning can provide more convenient service to users through fusion with facilities, for instance, public transportation which is closely related to users' real life. In the case of a subway, if an accurate train time schedule is provided, many users will get better services. In this study, we developed a systematic and an efficient geomagnetic based positioning method. This method provides stop and running conditions of trains for setting up more accurate and reliable system. Through this system, we tried to offer more stable indoor positioning service and to make the location-based services widespread.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122035309","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: 4

Contact Plan Design for Navigation Satellite Network Based on Maximum Matching 基于最大匹配的卫星导航网络接触规划设计

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271576

Zhenwei Hou, Xianqing Yi, Yue Zhao, Chong Li, Yi Xie

引用次数: 5

Automated Pruning of Greenhouse Indeterminate Tomato Plants 温室不确定番茄植株的自动修剪

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271569

Angeja Joey, Zhang Jane, Liu Bo

引用次数: 2

A Universal Method for Author Identification Using Statistical Properties of Text 一种利用文本统计属性识别作者的通用方法

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271561

R. Zantout, Ziad Osman, L. Hamandi

{"title":"A Universal Method for Author Identification Using Statistical Properties of Text","authors":"R. Zantout, Ziad Osman, L. Hamandi","doi":"10.1145/3271553.3271561","DOIUrl":"https://doi.org/10.1145/3271553.3271561","url":null,"abstract":"Author identification is a major topic in Natural Language Processing whose applications go far beyond recognizing the original author of a text to detecting fraud. Each author has a unique writing style which is revealed by analyzing statistical features of his/her text. Traditionally, statistical features such as word frequencies and n-gram character frequencies were used. Such features depended on language properties and not just on the identity of the author. Alternatively, text features consisting of blocks of 8 consecutive bytes extracted from documents, were used to identify authors. A set of distinct blocks for each author is determined by analyzing text known to be written by that author. Given text of unknown authorship, its distinct blocks are extracted and compared to the set of unique distinct blocks for each known author. The author of the text is then identified as the one who has the highest overlap between his/her distinct blocks and those of the text. This method was tested on Arabic and English texts with 100% accuracy. The language independence of the method is tested in this paper. The method is applied to Spanish, French and German texts. Using this method, the authors of the texts were identified with an accuracy of 100% proving that this method is indeed language independent.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129027868","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: 3