Scale Space and Variational Methods in Computer Vision: 7th International Conference, Ssvm 2019, Hofgeismar, Germany, June 30 - July 4, 2019, Proceedi
暫譯: 計算機視覺中的尺度空間與變分方法:第七屆國際會議 Ssvm 2019,德國霍夫基馬,2019年6月30日至7月4日,會議論文集
Lellmann, Jan, Burger, Martin, Modersitzki, Jan
- 出版商: Springer
- 出版日期: 2019-06-05
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 574
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030223671
- ISBN-13: 9783030223670
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相關分類:
Computer Vision
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商品描述
This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods.
商品描述(中文翻譯)
本書為第七屆國際計算機視覺中的尺度空間與變分方法會議(SSVM 2019)的會議紀錄,該會議於2019年6月至7月在德國霍夫蓋斯馬爾舉行。本卷收錄的44篇論文經過仔細審查並選定納入本書。這些論文被組織成以下主題部分:3D視覺與特徵分析;修補、插值與壓縮;影像中的反問題;影像中的優化方法;偏微分方程與水平集方法;配準與重建;尺度空間方法;分割與標記;以及變分方法。