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|a 9783642390944
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100 |
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|a Kamel, Mohamed
|e [editor]
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245 |
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|a Image Analysis and Recognition
|h Elektronische Ressource
|b 10th International Conference, ICIAR, Aveiro, Portugal, June 26-28, 2013, Proceedings
|c edited by Mohamed Kamel, Aurelio Campilho
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250 |
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|a 1st ed. 2013
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2013, 2013
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300 |
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|a XXII, 809 p. 407 illus
|b online resource
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|a Biometrics: behavioral -- Biometrics: physiological -- Classification and regression -- Object recognition -- Image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation -- 3D image analysis -- Tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis -- RGB-D camera applications -- Methods of moments -- Applications
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653 |
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|a Computer graphics
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653 |
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|a Computer vision
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653 |
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|a Computer Graphics
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653 |
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|a Artificial Intelligence
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653 |
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|a Computer Vision
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653 |
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|a Application software
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653 |
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|a Biometrics
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653 |
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|a Artificial intelligence
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653 |
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|a Computer and Information Systems Applications
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653 |
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|a Automated Pattern Recognition
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653 |
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|a Biometric identification
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653 |
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|a Pattern recognition systems
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700 |
1 |
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|a Campilho, Aurelio
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b Springer
|a Springer eBooks 2005-
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490 |
0 |
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|a Image Processing, Computer Vision, Pattern Recognition, and Graphics
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028 |
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|a 10.1007/978-3-642-39094-4
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856 |
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|u https://doi.org/10.1007/978-3-642-39094-4?nosfx=y
|x Verlag
|3 Volltext
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|a 006.37
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520 |
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|a This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR 2013, held in Póvoa do Varzim, Portugal, in June 2013, The 92 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in topical sections on biometrics: behavioral; biometrics: physiological; classification and regression; object recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image analysis; tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications
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