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This book describes various new computer based approaches which can
be exploited for the (digital) reconstruction, recognition,
restoration, presentation and classification of digital heritage.
They are based on applications of virtual reality, augmented
reality and artificial intelligence, to be used for storing and
retrieving of historical artifacts, digital reconstruction, or
virtual viewing. The book is divided into three sections:
"Classification of Heritage Data" presents chapters covering
various domains and aspects including text categorization, image
retrieval and classification, and object spotting in historical
documents. Next, in "Detection and Recognition of Digital Heritage
Artifacts", techniques like neural networks or deep learning are
used for the restoration of degraded heritage documents, Tamil Palm
Leaf Characters recognition, the reconstruction of heritage images,
and the selection of suitable images for 3D reconstruction and
classification of Indian land mark heritage images. Lastly,
"Applications of Modern Tools in Digital Heritage" highlights some
example applications for dance transcription, architectural
geometry of early temples by digital reconstruction, and computer
vision based techniques for collecting and integrating knowledge on
flora. This book is mainly written for researchers and graduate
students in digital preservation and heritage, or computer
scientists looking for applications of virtual reality, computer
vision, and artificial intelligence techniques.
This book describes various new computer based approaches which can
be exploited for the (digital) reconstruction, recognition,
restoration, presentation and classification of digital heritage.
They are based on applications of virtual reality, augmented
reality and artificial intelligence, to be used for storing and
retrieving of historical artifacts, digital reconstruction, or
virtual viewing. The book is divided into three sections:
"Classification of Heritage Data" presents chapters covering
various domains and aspects including text categorization, image
retrieval and classification, and object spotting in historical
documents. Next, in "Detection and Recognition of Digital Heritage
Artifacts", techniques like neural networks or deep learning are
used for the restoration of degraded heritage documents, Tamil Palm
Leaf Characters recognition, the reconstruction of heritage images,
and the selection of suitable images for 3D reconstruction and
classification of Indian land mark heritage images. Lastly,
"Applications of Modern Tools in Digital Heritage" highlights some
example applications for dance transcription, architectural
geometry of early temples by digital reconstruction, and computer
vision based techniques for collecting and integrating knowledge on
flora. This book is mainly written for researchers and graduate
students in digital preservation and heritage, or computer
scientists looking for applications of virtual reality, computer
vision, and artificial intelligence techniques.
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