Abstract
Heritage represents everything of the past for which we can be proud of today. In this chapter, we introduce the readers to the different categories of heritage as defined by UNESCO. The chapter then discusses the various techniques being developed and different research efforts going on in the world to digitally preserve cultural heritage—both its tangible and intangible aspects. The UNESCO World Heritage Site of Hampi in South India, with its historical and mythological significance, deserves preservation in physical and digital space. This book is an outcome of the India Digital Heritage project supported by the Department of Science and Technology of the government of India, focussing on the digital preservation of the heritage of Hampi. It attempts to show how multidisciplinary engagement across technology and humanities can provide significant impetus to the cause of documentation, showcasing and interpretation of cultural heritage and in some situations productive explorations of historical debates using digital tools.
This is a preview of subscription content, log in via an institution to check access.
References
UNESCO (2003) Convention for the safeguarding of intangible cultural heritage. In: 32nd session of the general conference Paris, 29 September–17 October 2003
Ikeuchi K, Oishi T, Takamatsu J, Sagawa R, Nakazawa A, Kurazume R, Nishino K, Kamakura M, Okamoto Y (2007) The great buddha project: digitally archiving, restoring, and analyzing cultural heritage objects. J Comput Vis 75(1):189–208
Gomes L, Bellon ORP, Silva L (2014) 3D reconstruction methods for digital preservation of cultural heritage: a survey. Pattern Recognit Lett 50:3–14
Levoy M, Pulli K, Curless B, Rusinkiewicz S, Koller D, Pereira L, Ginzton M, Anderson S, Davis J, Ginsberg J, Shade J, Fulk D (2000) The digital Michelangelo project: 3D scanning of large statues. In: Proceedings of the conference on computer graphics and interactive, techniques, pp 131–144
Fontana R, Greco M, Materazzi M, Pampaloni E, Pezzati L, Rocchini C, Scopigno R (2002) Three-dimensional modelling of statues: the minerva of arezzo. J Cult Herit 3(4):325–331
Bernardini F, Rushmeier H, Martin IM, Mittleman J, Taubin G (2002) Building a digital model of Michelangelo’s Florentine Pieta. IEEE Comput Graph Appl 22(1):59–67
Allen PK, Troccoli A, Smith B, Stamos I, Murray S (2003) The Beauvais cathedral project, vol 1
Grün A, Remondino F, Zhang L, für Geodäsie I, Photogrammetrie (Zürich) (2002) Reconstruction of the Great Buddha of Bamiyan, Afghanistan, ETH, Eidgenössische Technische Hochschule Zürich, Institute of Geodesy and Photogrammetry
Rushmeier H (2006) Eternal Egypt: experiences and research directions. In: International workshop on recording, modeling and visualization of cultural heritage, pp 22–27
Sonnemann T, Sauerbier M, Remondino F, Schrotter G, Campana S, Forte M (2006) Reality based 3d modeling of the angkorian temples using aerial images. British Archaeol Rep Int Ser 1568:573–579
Lu M, Kamakura M, Zheng B, Takamatsu J, Nishino K, Ikeuchi K (2011) Clustering Bayon face towers using restored 3D shape models. Culture Comput 39–44
Koller D, Frischer B, Humphreys G (2009) Research challenges for digital archives of 3D cultural heritage models. ACM J Comput Cult Herit 2, 3, Article 7 (December 2009), 17 pp
Thompson S (1955) Motif-index of folk literature Central trykkeriet, Copenhagen
Laban R (1966) Choreutics. MacDonald and Evans, London
Kahol K, Tripathi P, Panchanathan S (2004) Automated gesture segmentation from dance sequence. In: 6th IEEE international conference: automatic face and gesture recognition, Seoul, Korea, pp 883–888, 17–19 May 2004
Camurri A, Hashimoto S, Suzuki K, Trocca R (1999) KANSEI analysis of dance performance. IEEE system, man and cybernetics, Tokyo, Japan, 12–15 October 1999
Zhao L, Badler N (2001) Synthesis and acquisition of laban movement analysis parameters for communicative gestures. PhD thesis, Department of Computer & Information Science, University of Pennsylvania
Rett J, Dias J, Ahuactzin J (2010) Bayesian reasoning for laban movement analysis used in human machine interaction. Int J Reasoning-Based Intell Syst 2(1):13–35
Mallik A, Chaudhury S, Ghosh H (2011) Nrityakosha: preserving the intangible heritage of Indian classical dance. JOCCH 4(3):11:1–11:25
Savage P, Merritt E, Rzeszutek T, Brown S (2012) Cantocore: a new cross-cultural song classification scheme. Anal Approaches World Music 2(1)
Chen G-F (2014) Intangible cultural heritage preservation: an exploratory study of digitization of the historical literature of Chinese Kunqu opera librettos. ACM J Comput. Cult Herit 7, 1, Article 4 (March 2014), 16 pp
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Chaudhury, S., Mallik, A., Chandru, V., Srinivasan, S. (2017). Introduction. In: Mallik, A., Chaudhury, S., Chandru, V., Srinivasan, S. (eds) Digital Hampi: Preserving Indian Cultural Heritage. Springer, Singapore. https://doi.org/10.1007/978-981-10-5738-0_1
Download citation
DOI: https://doi.org/10.1007/978-981-10-5738-0_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5737-3
Online ISBN: 978-981-10-5738-0
eBook Packages: Computer ScienceComputer Science (R0)