Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
권호 표지
DOI QR코드

DOI QR Code

3D Visibility Data Search and Its Implementation in 3D Virtual Space by Ray Picking Method

3차원 가상공간 내 가시분석 데이터 추적 및 그래픽 구현 기술 개발에 관한 연구

  • 장동국 (조선대 건축학부 건축학전공) ;
  • 박주희 (조선대 건축공간구조연구센터)
  • Received : 2016.09.22
  • Accepted : 2016.12.12
  • Published : 2016.12.30
⟨ Previous Next ⟩

Abstract

Three-dimensional visibility techniques have been developed mainly in targeting the analysis of spatial volumes as well as the surfaces, such as, floors, walls and building facades. It is however difficult to apply these kinds of techniques into more sophisticated 3D visibility analysis because it has not been reported the way how to trace the details of analysed results due to a lack of searching process techniques of those in 3D virtual space. This study is therefore to develop 3D visibility data tracing and graphically representing technique in a 3D virtual space. Our approach employs a reverse process of multi-layer rendering algorithm to perform the picking operation in the 3D visibility analysis process. Two techniques are formulated: a dynamic view frustum of the screen following user instruction under the virtual camera installed in 3D space together with ray-picking algorithm and a reverse process of 3D projection for rendering. This data searching technique in 3D virtual space helps to interpret and simulate of design layout more precisely, as well as to pin point and present the analyzed 3D visibility data accurately.

Keywords

Acknowledgement

Supported by : 한국연구재단

References

  1. Benedikt, M. (1979). To take hold of space: isovists and isovist fields, Environment and Planning B: Planning and Design, 6, 47-65. https://doi.org/10.1068/b060047
  2. Chang, D. & Park, J. (2011). Exploration of Isovist Fields to Model 3D Visibility with Building Facade, Architectural Research (published by Architectural Institute of Korea), 13(3), 19-29. https://doi.org/10.5659/AIKAR.2011.13.3.19
  3. Ericson, C. (2004). Real Time Collision Detection, CRC Press.
  4. Fisher-Gewirtzman, D., Pinsly S., Wagner, A., & Burt, M. (2005). View-oriented three-dimensional visual analysis models for the urban environment, Urban Design International, 10, pp.23-37. https://doi.org/10.1057/palgrave.udi.9000133
  5. Hillier, B.(1996). Space is the machine, Cambridge University Press.
  6. Kim, S. (2010). A study on the deduction of 3-dimmensional visual structure and measurement of quantitative openness in accordance with spatial probe routes, Korean Institute of Interior Design Journal (published by Korean Institute of Interior Design), 19(6), 112-120.
  7. Lengyel, E. (2011). Mathematics for 3D Game Programming and Computer Graphics. 3rd ed,. Cengage Learning PTR, 118-120.
  8. Morello, E., & Ratti, C.(2009). A Digital Image of the City: 3D isovists in Lynch's urban analysis. Environment and Planning B: Planning and Design, 36(5), 837-853. https://doi.org/10.1068/b34144t
  9. Turner, A., Doxa, M., O'Sullivan, D., & Penn, A. (2001). From isovists to visibility graphs: a methodology for the analysis of architectural space, Environment and Planning B: Planning and Design, 28, 103-121. https://doi.org/10.1068/b2684