Abstract
Isovist or vision field computing is an interesting topic with many applications in different fields: security, wireless network design, or landscape management. In all existing solutions, a 3D environment appears to be the most challenging task and few solutions exist for detecting the obstacles that limit the vision field. In this paper a new algorithm is presented for isovist calculation that can detect all objects, which block the sight in a 2D and 3D environment. Then, a demonstration with GIS data is given and some visibility indices are also presented.
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ArcView 3 version ‘ESRI’
References
Ashihara Y (1984) The aesthetic townscape. MIT Press, Cambridge, pp 195–139
Batty M, Jiang B (1999) Multi-agent simulation: new approaches to exploring space-time dynamics in GIS. http://eprints.ucl.ac.uk/268/
Benedict ML (1979) To take hold of space: isovists and isovists fields. Environ Plann B 6:47–65
Bentley JL, Ottmann TA (1979) Algorithms for reporting and counting geometric intersections. IEEE Trans Comput C-28:643–647
Bilsen V (2009) How can serious games benefit from 3D visibility analysis? Presented at the international simulation and gaming association conference, Singapore
Bilsen V (2010) 3D visibility analysis in virtual learning environments and interactive and digital media. Presented at the interactive& digital media for education in virtual learning environment, New York
Boehm J, Haala N, Kapusy P (2002) Automated appearance-based building detection in terrestrial images. In: ISPRS commission v symposium, international archives on photogrammetry and remote sensing, vol 34, pp 491–495
Brossard T, Joly D, Tourneux F (2008) Modélisation opérationnelle du paysage. Paysage et information géographique, Lavoisier, pp 117–137
Christenson M (2010) Registering visual permeability in architecture: isovists and occlusion maps in AutoLISP. Environ Plann B Plann Des 37:1128–1136
Cipolla Drummond (2000) Vision algorithms: theory and practice. Springer, Berlin
Conroy Dalton R, Bafna S (2003) The syntactical image of the city: a reciprocal definition of spatial elements and spatial syntaxes. http://eprints.ucl.ac.uk/1104/
David P, Dementhon D, Duraiswami R, Samet H (2004) SoftPOSIT: simultaneous pose and correspondence determination. Int J Comput Vision 59(3):259–284
De Floriani L, Magillo P (1994) Abstract visibility algorithms on triangulated digital terrain models. Int J Geogr Inform Syst 8(1):13–41
Do EY-L (1994a) Design and description of form—using tool command language Tk/Tcl to visualize isovist by lighting and shadow casting analogy
Do EY-L (1994b) Isovist calculation in AutoCAD
Do EY-L (1995) Visual analysis through Isovist—building a computation tool
Do EY-L (1997) Tools for visual and spatial analysis of CAD models. CAAD futures 1997 conference, pp 373–388
Drummond T, Cipolla R (2002) Real-time visual tracking of complex structures. IEEE Trans Pattern Anal Machine Intell 24:932–946
Fisher-Gewirtzman D, Shach Pinsly D, Wagner IA, Burt M (2005) View-oriented three-dimensional visual analysis models for the urban environment. Urban Des Int 10:23–37
Fishman J, Haverkort H, Toma L (2009) Improved visibility computation on massive grid terrains. Presented at the (2009)
Floriani LD, Magillo P (2003) Algorithms for visibility computation on terrains: a survey. Environ Plann B Plann Des 30:709–728
Franklin WR, Ray CK (1994) Higher isn’t necessarily better: visibility algorithms and experiments. In: Advances in GIS research: sixth international symposium on spatial data handling, vol 5, pp 751–770
Gibson JJ (1983) The senses considered as perceptual systems. Greenwood Press Reprint, Westport
Hillier B, Hanson J (1984) The social logic of space. Cambridge University Press, Cambridge
Ittelson W (1960) Visual space perception, vol. 212. Springer, New York, pp. 6: Science 133:1241–1242 (1961)
Lake IR, Lovett AA, Bateman IJ, Day B (2000) Using GIS—and large-scale digital data to implement hedonic pricing studies. Int J Geog Inform Sci 14:521
Lynch K (1976) What time is this place? The MIT Press, Cambridge
Morello E, Ratti C (2009) A digital image of the city: 3D isovists in Lynch’s urban analysis. Environ Plann B Plann Des 36:837–853
Ortegón-Aguilar J, Bayro-Corrochano E (2006) Lie algebra and system identification techniques for 3D rigid motion estimation and monocular tracking. J Math Imaging Vision 25:173–185
PUTRA SY (2005) GIS-based 3D volumetric visibility analysis and spatial and temporal perceptions of urban space
Putra SY, Yang PP-J (2005) Analysing mental geography of residential environment in Singapore using GIS-based 3D visibility, analysis
Pyysalo U, Oksanen J, Sarjakoski T (2009) Viewshed analysis and visualization of landscape voxel models. In: 24th international cartographic conference, Santiago, Chile
Rana S (2006) Isovist analyst: an arcview extension for planning visual surveillance. http://eprints.ucl.ac.uk/2104/
Rosenberg Y, Werman M (1998) Real-time object tracking from a moving video camera: a software approach on a PC. In: IEEE workshop on applications of computer vision, pp 238–239
Sourimant G, Morin L, Bouatouch K, De Rennes (2009) GPS, GIS and video registration for building reconstruction. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.2400
Suleiman W, Joliveau T, Favier E (2011) 3D urban visibility analysis with vector GIS data. Presented at the GISRUK 2011, University of Portsmouth, UK, pp 27–29, 26 April 2011
Turner A, Doxa M, O’Sullivan D, Penn A (2001) From isovists to visibility graphs: a methodology for the analysis of architectural space. Environ Plann B 28:103–121
Van Kreveld M (1996) Variations on sweep algorithms: efficient computation of extended viewsheds and class intervals. In: Proceedings of the 7th international symposium on spatial data handling, pp 13–15
Zhao C, Shi W, Deng Y (2005) A new Hausdorff distance for image matching. Pattern Recogn Lett 26:581–586
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Suleiman, W., Joliveau, T., Favier, E. (2013). A New Algorithm for 3D Isovists. In: Timpf, S., Laube, P. (eds) Advances in Spatial Data Handling. Advances in Geographic Information Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32316-4_11
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