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Titlebook: Image and Graphics; 9th International Co Yao Zhao,Xiangwei Kong,David Taubman Conference proceedings 2017 Springer Nature Switzerland AG 20

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书目名称Image and Graphics
副标题9th International Co
编辑Yao Zhao,Xiangwei Kong,David Taubman
视频videohttp://file.papertrans.cn/462/461480/461480.mp4
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Image and Graphics; 9th International Co Yao Zhao,Xiangwei Kong,David Taubman Conference proceedings 2017 Springer Nature Switzerland AG 20
描述This three-volume set LNCS 10666, 10667, and 10668 constitutes the refereed conference proceedings of the 9.th. International Conference on Image and Graphics, ICIG 2017, held in Shanghai, China, in September 2017. The 172 full papers were selected from 370 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking.
出版日期Conference proceedings 2017
关键词computer graphics; image analysis; image processing; image understanding; virtual reality; 3D animation; b
版次1
doihttps://doi.org/10.1007/978-3-319-71607-7
isbn_softcover978-3-319-71606-0
isbn_ebook978-3-319-71607-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2017
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书目名称Image and Graphics影响因子(影响力)




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4D ISIP: 4D Implicit Surface Interest Point Detection,ints whose local neighborhood has significant variations along both spatial and temporal dimensions. In order to test our 4D-ISIP detection, we built a system to acquire 3D human motion dataset using only one Kinect. Experimental results show that our method can detect 4D-ISIP for different human actions.
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An Unsupervised Change Detection Approach for Remote Sensing Image Using Visual Attention Mechanism, meanwhile extensive quantitative and qualitative analysis of the change detection results confirms the effectiveness of the proposed approach, showing its capability to consistently produce promising results on all the datasets without any priori assumptions.
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Abnormal Gait Detection in Surveillance Videos with FFT-Based Analysis on Walking Rhythm,Fast Fourier Transform (FFT), and the standard deviation over spectrum is used as an indicator of anomalies, subject to any sudden change to break the normally periodical walking rhythm. The experimental results demonstrate its precision.
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