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Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision

丛 书 名:Lecture Notes in Computer Science

版本说明:1

作     者:Tatiana A. Bubba Romina Gaburro Silvia Gazzola Kostas Papafitsoros Marcelo Pereyra Carola-Bibiane Schönlieb 

I S B N:(纸本) 9783031923685 

出 版 社:Springer Cham 

出 版 年:1000年

页      数:XVII, 433页

主 题 词:Computer Imaging, Vision, Pattern Recognition and Graphics Signal, Image and Speech Processing Computer Communication Networks Machine Learning Mathematics of Computing 

摘      要:The two-volume set LNCS 15667 and 15668 constitutes the proceedings of the 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025, which took place in Dartington, UK, in May 2025. The total of 63 full papers accepted in the proceedings were carefully reviewed and selected from 81 submissions. They were organized in topical sections as follows: Part I: Inverse Problems in Imaging; machine and deep learning in imaging; Part II: Optimization for imaging: theory and methods; scale space, PDES, flow, motion and registration.

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