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: TextSeries: Lecture Notes in Computer Science ; 7950Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XXII, 809 p. 407 illus. online resourceContent type:- text
- computer
- online resource
- 9783642390944
- Computer science
- Artificial intelligence
- Computer graphics
- Image processing
- Pattern recognition
- Biometrics (Biology)
- 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
- TA1634
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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