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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various domains and aspects including text categorization, image retrieval and classification, and object spotting in historical documents.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.
Jayanta Mukhopadhyay is professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. His research interests are in image processing, computer vision, robotics, pattern recognition, computer graphics, multimedia systems and bio-medical informatics, and has published about 250 research papers in journals and conference proceedings in these areas.
Santanu Chaudhury is currently Director of IIT Jodhpur. He is also a Professor in the Department of Electrical Engineering at IIT Delhi. His main research interests are in the fields of computer vision and pattern recognition. He was awarded the INSA medal for young scientists in 1993, and he is a fellow of the Indian National Academy of Engineers, the National Academy of Sciences, India, and the International Association of Pattern Recognition. He has authored/edited four books and more than 250 research publications in peer reviewed journals and conferences.
Vinay P.Namboodiri is associate professor at the Computer Science and Engineering Department of IIT Kanpur. His research interests include computer vision and machine learning with a focus on deep learning based research. He has over 45 publications in leading journals and conferences in computer vision.
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