Abstract
Cultural heritage is unique and non-renewable while digital information about cultural heritage has the advantages of being permanently stored, and conveniently copied and shared. Hence it can provide a new method for scientific conservation, research, interactive exhibition, as well as utilization of cultural heritage. Current developments in computer networks, multimedia, virtual reality, and artificial intelligence have provided a solid foundation for the digitalization of cultural heritage information.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
3D CaMega (2009) CS-400. http://www.3dcamega.com/cpjsshow.asp?id=1 (in Chinese). Accessed 10 Sept 2009
Abhay S (2003) Understanding Color Management. Cengage Learning, Florence, KY
Akyildiz IF, Su W, Sankarasubramaniam Y, et al. (2002) Wireless sensor networks: a survey. Computer Networks 38(4):393–422
Better Light (2007) Better light SuperModels. http://www.betterlight.com/superModels.html. Accessed 20 Aug 2007
Carolina CN, Daniel JS, Thomas AD (1993) The design and implementation of the cave. In: Proceedings of ACM SIGGRAPH’93, Anaheim, CA, USA, 135–142
Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24(5):603–619
Fogel I, Sagi D (1989) Gabor filters as texture discriminator. Biological Cybernetics 61:103–113
GE Corporation (2006) Telaire 6004 CO module. http://www.gesensing.com/downloads/datasheets/920356a.pdf. Accessed 10 Sept 2009
HAC Company (2009) HAC-LM data RF module. http://www.haccom.com/newEbiz1/EbizPortalFG/portal/html/ProductInfoExhibit.html?ProductInfoExhibitProductID=c373e91521f83e108f7b916fde2381ed. Accessed 10 Sept 2009
Jeff S (2003) Professional Digital Portrait Photography. Amherst Media, Inc., New York, USA
Jin XG, Bao HZ, Peng QS (1997) A survey of computer animation. Journal of Software 8(4):241–251 (in Chinese)
Khronos Group (2009) OpenGL-the industry standard for high performance graphics. http://www.opengl.org. Accessed 10 Sept 2009
Kim YJ, Otaduy MA, Lin MC, et al. (2002) Fast penetration depth computation for physically-based animation. In: Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation.San Antonio, Texas,USA, 23–31
Marr D, Poggio T (1979) A computational theory of human stereo vision. In: Proceedings of the Royal Society of London, Series B, Biological Sciences 204(1156):301–328
Microsoft (2009) Microsoft DirectX. http://www.microsoft.com/australia/windows/directx. Accessed 10 Sept 2009
Rolland JP, Davis L, Baillot Y (2000) A survey of tracking technology for virtual environments. Fundamentals of Wearable Computers and Augmented Reality, Lawrence Erlbaum Associates, Philadelphia
Pan YH (1996) The synthesis reasoning. Pattern Recognition and Artificial Intelligence 9(3):201–208 (in Chinese)
Parent R (2002) Computer Animation: Algorithms and Techniques. Morgan Kaufmann, USA
Pei SC, Zeng YC, Chang CH (2004) Virtual restoration of ancient Chinese paintings using color contrast enhancement and lacuna texture synthesis. IEEE Transactions on Image Processing 13(3):416–429
Phase One (2006) P45+. http://www.phaseone.com/Content/p1digitalbacks/Pplusseries/Pplus/P45+.aspx. Accessed 10 Sept 2009
Puppo E, Nazionale C, Scopigno R, et al. (1997) Simplification, LOD and multireso-lution-principles and applications. In: Eurographics’97, Tutorial Notes, Budapest, Hungary
Ruan QJ (2005) Digital Image Processing Using Matlab. Publishing House of Electronics Industry, Beijing (in Chinese)
Sensirion Company (2009) SHT75 — Digital humidity sensor (RH&T). http://www.sensirion.ch/en/01_humiditysensors/06_humiditysensor_sht75.htm. Accessed 10 Sept 2009
Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 22:888–905
Sonka M, Hlavac V, Boyle R (1999) Image Processing, Analysis, and Machine Vision: Second Edition. Thomson Learning, USA
Sasson S (2007) We Had No Idea. http://stevesasson.pluggedin.kodak.com/. Accessed 10 Sept 2009
Sutherland I (1965) The Ultimate Display. In: Proceedings of IFIP Congress, New York, USA, 506–508
Sturman DJ, Zeltzer D (1994) A survey of glove-based input. IEEE Computer Graphics and Applciations 14:30–39
Tomas AM, Eric H, Naty H (2008) Real-time Rendering, 2nd Edition. A K Peters Ltd., Wellesley Massachusetts, USA
Trimble (2005) Trimble GX 3D Scanner for Spatial Imaging-Accurate Terrestrial Positioning Data for the Geospatial Industry. http://www.trimble.com/trimblegx.shtml. Accessed 10 Sept 2009
Watt A, Watt M (1991) Advanced Animation and Rendering Techniques. ACM New York,USA
William E, Ramon B (1989) Handbook of Jig and Fixture Design (2nd Edition). Society of Manufacturing Engineers, Michigan, USA
Zhang H, Manocha D, Hudson T, et al. (1997) Visibility culling using hierarchical occlusion maps. In: Proceedings of ACM SIGGRAPH’97, Los Angeles,CA, USA, 77–88
Rights and permissions
Copyright information
© 2010 Zhejiang University Press, Hangzhou and Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
(2010). The Basis of Digital Technologies for Cultural Heritage Preservation. In: Digital Preservation for Heritages. Advanced Topics in Science and Technology in China. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04862-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-04862-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04861-6
Online ISBN: 978-3-642-04862-3
eBook Packages: Computer ScienceComputer Science (R0)