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Titlebook: Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage; The Monastery of Sai Maurizio Perticarini Book 2024 The Editor

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發(fā)表于 2025-3-21 16:38:06 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage
副標題The Monastery of Sai
編輯Maurizio Perticarini
視頻videohttp://file.papertrans.cn/643/642208/642208.mp4
概述Presents detailed case studies and survey methods for holistic cultural heritage preservation.Provides cutting-edge research on surveying and representation technologies in cultural heritage.Highlight
圖書封面Titlebook: Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage; The Monastery of Sai Maurizio Perticarini Book 2024 The Editor
描述.This book addresses the role of modern surveying and representation technologies in preserving and disseminating cultural heritage. A workflow is illustrated, describing the Former Monastery of Ss Severino and Sossio case study, currently the headquarters of the State Archives of Naples, Italy. After offering a historical overview, the work examines the spaces and structure of the building. A methodology for three-dimensional restitution is presented, using low-cost image-based and professional range-based surveying, concluding with recent AI technologies such as NeRF. The research continues with the virtual and augmented restitution of parts of the building that have been modified, lost over the centuries, or are no longer accessible. The Atrio dei Marmi, the Atrio del Platano, and the Sala del Capitolo and Sala del Refettorio are some of the places where the research has focused, creating a BIM model, using AR for precise interventions, and developing an immersive applied game to understand the third level of the monastery, rich in works of art and today also serving as a museum. In the final chapters, a particular focus is placed on the future of representation: new techniques,
出版日期Book 2024
關(guān)鍵詞Laser Scanning; Photogrammetry; Augmented Reality; BIM; Cultural Heritage Preservation; Representation Te
版次1
doihttps://doi.org/10.1007/978-3-031-71287-6
isbn_softcover978-3-031-71289-0
isbn_ebook978-3-031-71287-6
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:26:06 | 只看該作者
Book 2024ustrated, describing the Former Monastery of Ss Severino and Sossio case study, currently the headquarters of the State Archives of Naples, Italy. After offering a historical overview, the work examines the spaces and structure of the building. A methodology for three-dimensional restitution is pres
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Machine Learning and Mixed Reality for the Enhancement of Cultural Heritage978-3-031-71287-6
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發(fā)表于 2025-3-22 11:01:57 | 只看該作者
Book 2024ting a BIM model, using AR for precise interventions, and developing an immersive applied game to understand the third level of the monastery, rich in works of art and today also serving as a museum. In the final chapters, a particular focus is placed on the future of representation: new techniques,
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發(fā)表于 2025-3-22 15:38:01 | 只看該作者
game to understand the third level of the monastery, rich in works of art and today also serving as a museum. In the final chapters, a particular focus is placed on the future of representation: new techniques,978-3-031-71289-0978-3-031-71287-6
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Maurizio PerticariniPresents detailed case studies and survey methods for holistic cultural heritage preservation.Provides cutting-edge research on surveying and representation technologies in cultural heritage.Highlight
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