Image Analysis and Recognition [electronic resource] : 10th International Conference, ICIAR 2013, Póvoa do Varzim, Portugal, June 26-28, 2013. Proceedings / edited by Mohamed Kamel, Aurélio Campilho.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9783642390944
- Computer science
- Artificial intelligence
- Computer graphics
- Computer vision
- Optical pattern recognition
- Biometrics
- Computer Science
- Image Processing and Computer Vision
- Artificial Intelligence (incl. Robotics)
- Pattern Recognition
- Computer Graphics
- Biometrics
- Information Systems Applications (incl. Internet)
- 006.6 23
- 006.37 23
- TA1637-1638
- TA1637-1638
Item type | Current library | Call number | Status | Date due | Barcode | |
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Central Library | Available | E-50514 |
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.
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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