Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications: 4th International Conference, CompIMAGE 2014, . Vision, Pattern Recognition, and Graphics)

ISBN 10: 3319099930 ISBN 13: 9783319099934

Editorial: Springer, 2014

Idioma: Ingl�s

Condici�n: Nuevo Encuadernaci�n de tapa blanda

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Detalles bibliogr�ficos

T�tulo: Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications: 4th International Conference, CompIMAGE 2014, . Vision, Pattern Recognition, and Graphics)
Editor: Springer
Fecha de publicaci�n: 2014
Idioma: Ingl�s
ISBN 10: 3319099930
ISBN 13: 9783319099934
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014.
The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.

Rese�a del editor

This book constitutes the refereed proceedings of the 4th International Conference on Computational Modeling of Objects Presented in Images, CompIMAGE 2014, held in Pittsburgh, PA, USA, in September 2014.
The 29 revised full papers presented together with 10 short papers and 6 keynote talks were carefully reviewed and selected from 54 submissions. The papers cover the following topics: medical treatment, imaging and analysis; image registration, denoising and feature identification; image segmentation; shape analysis, meshing and graphs; medical image processing and simulations; image recognition, reconstruction and predictive modeling; image-based modeling and simulations; and computer vision and data-driven investigations.

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