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{ "item_title" : "Scale Space and Variational Methods in Computer Vision", "item_author" : [" Abderrahim Elmoataz", "Jalal Fadili", "Yvain Quéau "], "item_description" : "This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/075/548/3030755487_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Scale Space and Variational Methods in Computer Vision|Abderrahim Elmoataz

Scale Space and Variational Methods in Computer Vision : 8th International Conference, Ssvm 2021, Virtual Event, May 16-20, 2021, Proceedings

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Overview

This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.
The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.

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Details

  • ISBN-13: 9783030755485
  • ISBN-10: 3030755487
  • Publisher: Springer
  • Publish Date: April 2021
  • Dimensions: 9.21 x 6.14 x 1.21 inches
  • Shipping Weight: 1.81 pounds
  • Page Count: 580

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