{"product_id":"scale-space-and-variational-methods-in-computer-vision-9th-international-conference-ssvm-2023-santa-margherita-di-pula-italy-may-2125-2023-proceedings-9783031319747","title":"Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book presents the proceedings of the 9th International Conference on Scale Space and Variational Methods in Computer Vision,SSVM 2023,which covered topics such as inverse problems, machine and deep learning, optimization, and scale space, PDEs, flow, motion, and registration. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 759 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 02 May 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003eThe 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, was held in Santa Margherita di Pula, Italy, in May 2023. This conference brought together experts from around the world to discuss the latest advancements in scale space and variational methods in computer vision.\u003cbr\u003e\u003cbr\u003eThe proceedings of the conference, which included 57 papers, were meticulously reviewed and selected from a total of 72 submissions. The papers were organized into topical sections, covering various aspects of computer vision:\u003cbr\u003e\u003cbr\u003eInverse Problems in Imaging: This section focused on addressing challenging imaging problems, such as reconstruction, denoising, and object detection. The papers presented innovative techniques and algorithms for solving these problems.\u003cbr\u003e\u003cbr\u003eMachine and Deep Learning in Imaging: This section explored the use of machine learning and deep learning algorithms in computer vision tasks, including image classification, object detection, and facial recognition. The papers discussed the latest developments and challenges in these areas.\u003cbr\u003e\u003cbr\u003eOptimization for Imaging: Theory and Methods: This section covered optimization techniques for computer vision problems, such as image registration, motion estimation, and shape analysis. The papers presented novel approaches and algorithms for improving the accuracy and efficiency of these tasks.\u003cbr\u003e\u003cbr\u003eScale Space, PDEs, Flow, Motion, and Registration: This section dealt with scale space methods, partial differential equations (PDEs), flow models, motion analysis, and registration techniques. The papers presented advanced techniques for capturing and analyzing visual data in a variety of applications.\u003cbr\u003e\u003cbr\u003eThe conference provided a platform for researchers and practitioners to exchange ideas, share their research findings, and collaborate on future research projects. The presentations were of high quality, and the discussions were lively and informative.\u003cbr\u003e\u003cbr\u003eOverall, the 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, was a successful event that contributed significantly to the advancement of computer vision research. The proceedings of the conference will be valuable for researchers, students, and practitioners in the field.\u003cbr\u003e\u003cbr\u003eThe 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, was held in Santa Margherita di Pula, Italy, in May 2023. This conference brought together experts from around the world to discuss the latest advancements in scale space and variational methods in computer vision.\u003cbr\u003e\u003cbr\u003eThe proceedings of the conference, which included 57 papers, were meticulously reviewed and selected from a total of 72 submissions. The papers were organized into topical sections, covering various aspects of computer vision:\u003cbr\u003e\u003cbr\u003eInverse Problems in Imaging: This section focused on addressing challenging imaging problems, such as reconstruction, denoising, and object detection. The papers presented innovative techniques and algorithms for solving these problems.\u003cbr\u003e\u003cbr\u003eMachine and Deep Learning in Imaging: This section explored the use of machine learning and deep learning algorithms in computer vision tasks, including image classification, object detection, and facial recognition. The papers discussed the latest developments and challenges in these areas.\u003cbr\u003e\u003cbr\u003eOptimization for Imaging: Theory and Methods: This section covered optimization techniques for computer vision problems, such as image registration, motion estimation, and shape analysis. The papers presented novel approaches and algorithms for improving the accuracy and efficiency of these tasks.\u003cbr\u003e\u003cbr\u003eScale Space, PDEs, Flow, Motion, and Registration: This section dealt with scale space methods, partial differential equations (PDEs), flow models, motion analysis, and registration techniques. The papers presented advanced techniques for capturing and analyzing visual data in a variety of applications.\u003cbr\u003e\u003cbr\u003eThe conference provided a platform for researchers and practitioners to exchange ideas, share their research findings, and collaborate on future research projects. The presentations were of high quality, and the discussions were lively and informative.\u003cbr\u003e\u003cbr\u003eOverall, the 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, was a successful event that contributed significantly to the advancement of computer vision research. The proceedings of the conference will be valuable for researchers, students, and practitioners in the field.\u003cbr\u003e\u003cbr\u003eThe 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, was held in Santa Margherita di Pula, Italy, in May 2023. This conference brought together experts from around the world to discuss the latest advancements in scale space and variational methods in computer vision.\u003cbr\u003e\u003cbr\u003eThe proceedings of the conference, which included 57 papers, were meticulously reviewed and selected from a total of 72 submissions. The papers were organized into topical sections, covering various aspects of computer vision:\u003cbr\u003e\u003cbr\u003eInverse Problems in Imaging: This section focused on addressing challenging imaging problems, such as reconstruction, denoising, and object detection. The papers presented innovative techniques and algorithms for solving these problems.\u003cbr\u003e\u003cbr\u003eMachine and Deep Learning in Imaging: This section explored the use of machine learning and deep learning algorithms in computer vision tasks, including image classification, object detection, and facial recognition. The papers discussed the latest developments and challenges in these areas.\u003cbr\u003e\u003cbr\u003eOptimization for Imaging: Theory and Methods: This section covered optimization techniques for computer vision problems, such as image registration, motion estimation, and shape analysis. The papers presented novel approaches and algorithms for improving the accuracy and efficiency of these tasks.\u003cbr\u003e\u003cbr\u003eScale Space, PDEs, Flow, Motion, and Registration: This section dealt with scale space methods, partial differential equations (PDEs), flow models, motion analysis, and registration techniques. The papers presented advanced techniques for capturing and analyzing visual data in a variety of applications.\u003cbr\u003e\u003cbr\u003eThe conference provided a platform for researchers and practitioners to exchange ideas, share their research findings, and collaborate on future research projects. The presentations were of high quality, and the discussions were lively and informative.\u003cbr\u003e\u003cbr\u003eOverall, the 9th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2023, was a successful event that contributed significantly to the advancement of computer vision research. The proceedings of the conference will be valuable for researchers, students, and practitioners in the field.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 1169g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031319747\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44316432826618,"sku":"9783031319747","price":85.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_83ef39eb-19e9-4366-a162-29791d04381f.jpg?v=1688471924","url":"https:\/\/shulphink.com\/products\/scale-space-and-variational-methods-in-computer-vision-9th-international-conference-ssvm-2023-santa-margherita-di-pula-italy-may-2125-2023-proceedings-9783031319747","provider":"Shulph Ink","version":"1.0","type":"link"}