Produktbild: Digital Techniques for Heritage Presentation and Preservation

Digital Techniques for Heritage Presentation and Preservation

Fr. 204.00

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.03.2021

Herausgeber

Jayanta Mukhopadhyay + weitere

Verlag

Springer

Seitenzahl

272

Maße (L/B/H)

23.5/15.5/2 cm

Gewicht

543 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-57906-7

Beschreibung

Portrait

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.

Indu Sreedevi is Dean (Student Welfare) and professor in the Electronics and Communication Engineering Department of Delhi Technological University. Her main areas of research interest are in computer vision, sensor networks and image processing. She has published around 150 papers in international journals and international conferences.

Bhabatosh Chanda is professor at the Image Processing Laboratory of the Indian Statistical Institute in Kolkata. His research interest includes Image and video processing, pattern recognition, computer vision and mathematical morphology. He has published more than 200 technical articles in refereed journals and conferences, authored two books and edited six books. During his 25-year career, he received several awards, among them the Young Scientist Medal of the Indian National Science Academy in 1989, and the Computer Engineering Division Medal of the Institution of Engineers in 1998.

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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

18.03.2021

Herausgeber

Verlag

Springer

Seitenzahl

272

Maße (L/B/H)

23.5/15.5/2 cm

Gewicht

543 g

Auflage

1st ed. 2021

Sprache

Englisch

ISBN

978-3-030-57906-7

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

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  • Produktbild: Digital Techniques for Heritage Presentation and Preservation
  • Part I: Classification and Retrieval of Heritage Data.- Chapter 1. Introduction to heritage and heritage management.- Chapter 2. Language-based text categorization: A Survey.- Chapter 3. Classification of Yoga Asana from single image by learning 3D view of human pose.- Chapter 4. IHIRD: A data-set for Indian heritage image retrieval.- Chapter 5. Object spotting in historical documents.- Part II: Restoration and Reconstruction of Digital Heritage Artifacts.- Chapter 6. Text extraction and restoration of old handwritten documents.- Chapter 7. A framework of image selection for efficient 3D reconstruction of heritage sites.- Chapter 8. Deep learning-based filtering of images for 3D reconstruction of heritage sites.- Chapter 9. Improving landmark recognition using saliency detection and feature classification.- Part III: Applications of Modern Tools in Digital Heritage.- Chapter 10. Dance transcription using Ontology-based domain knowledge in machine learning framework.- Chapter 11. Evolution and interconnection of geometry in early temple architecture.- Chapter 12. Computer vision for capturing flora.