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Titlebook: Image and Video Technology; 6th Pacific-Rim Symp Reinhard Klette,Mariano Rivera,Shin’ichi Satoh Conference proceedings 2014 Springer-Verlag

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發(fā)表于 2025-3-21 18:43:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Image and Video Technology
副標(biāo)題6th Pacific-Rim Symp
編輯Reinhard Klette,Mariano Rivera,Shin’ichi Satoh
視頻videohttp://file.papertrans.cn/462/461523/461523.mp4
概述Up-to-date results.Fast conference proceedings tracks of PSIVT 2013
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Image and Video Technology; 6th Pacific-Rim Symp Reinhard Klette,Mariano Rivera,Shin’ichi Satoh Conference proceedings 2014 Springer-Verlag
描述This book constitutes the thoroughly refereed post-conference proceedings of the 6th Pacific Rim Symposium on Image and Video Technology, PSIVT 2013, held in Guanajuato, México in October/November 2013. The total of 43 revised papers was carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on image/video processing and analysis, image/video retrieval and scene understanding, applications of image and video technology, biomedical image processing and analysis, biometrics and image forensics, computational photography and arts, computer and robot vision, pattern recognition and video surveillance.
出版日期Conference proceedings 2014
關(guān)鍵詞3D pattern recognition; face recognition; human-computer interaction; steganography; stereo video
版次1
doihttps://doi.org/10.1007/978-3-642-53842-1
isbn_softcover978-3-642-53841-4
isbn_ebook978-3-642-53842-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2014
The information of publication is updating

書目名稱Image and Video Technology影響因子(影響力)




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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461523.jpg
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978-3-642-53841-4Springer-Verlag GmbH Germany, part of Springer Nature 2014
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Image and Video Technology978-3-642-53842-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Precise Correction of Lateral Chromatic Aberration in Images,sub-pixel) realignment of color channels. This is achieved thanks to two ingredients: high precision keypoint detection, which in our case are disk centers, and more general correction model than what is commonly used in the literature, radial polynomial. Our setup is quite easy to implement, requir
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Non-rigid Multimodal Image Registration Based on the Expectation-Maximization Algorithm,n-Maximization (EM) technique in order to estimate a displacement vector field that aligns the images to register. In this approach, the image alignment relies on hidden stochastic random variables which allow to compare the intensity values between images of different modality. The methodology is b
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