Fr. 69.00

Energy Minimization Methods in Computer Vision and Pattern Recognition - 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013. Proceedings

English · Paperback / Softback

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Description

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This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.

List of contents

Medical Imaging.- Image Editing.- 3D Reconstruction.- Shape Matching.- Scene Understanding.- Segmentation; Superpixels.- Statistical Methods and Learning.

Summary

This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning.

Product details

Assisted by Anders Heyden (Editor), Fredri Kahl (Editor), Fredrik Kahl (Editor), Carl Olsson (Editor), Carl Olsson et al (Editor), Magnus Oskarsson (Editor), Xue-Cheng Tai (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 26.07.2013
 
EAN 9783642403941
ISBN 978-3-642-40394-1
No. of pages 363
Dimensions 155 mm x 237 mm x 21 mm
Weight 569 g
Illustrations XII, 363 p. 130 illus.
Series Lecture Notes in Computer Science
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Lecture Notes in Computer Science
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software

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