KIEAE Journal

Korea Institute of Ecological Architecture and Environment (한국생태환경건축학회)
권호 표지

Digital Modelling of Visual Perception in Architectural Environment

  • Published : 2003.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

To be the design method supporting aesthetic ability of human, CAAD system should essentially recognize architectural form in the same way of human. In this study, visual perception process of human was analyzed to search proper computational method performing similar step of perception of it. Through the analysis of visual perception, vision was separated to low-level vision and high-level vision. Edge detection and neural network were selected to model after low-level vision and high-level vision. The 24 images of building, tree and landscape were processed by edge detection and trained by neural network. And 24 new images were used to test trained network. The test shows that trained network gives right perception result toward each images with low error rate. This study is on the meaning of artificial intelligence in design process rather than on the design automation strategy through artificial intelligence.

Keywords

References

  1. 中森 義輝, 感性 デ-タ 解析, 森北出版株式會社, 2000, pp. 3∼19
  2. Arthur, L. M., T. C. Daniel, & R. Boster, 'Science Assesment', Landscape Planning 4, 1977, pp. 109∼129
  3. Park, Chan-Kyu, 'A Study on the Design of Dwellings-on-Ground in the Flat Housing Estate', Journal of the Architectural Institute of Korea, 1994. 4
  4. Nagamachi, M., Image Technology Based on Knowledge Engineering and Its Application to Design Consultation, Ergonomics International, 1988
  5. Gero, J. and Yan, M., 'Shape Emergence by Symbolic Reasoning', Environment and Planning B: Planing and Design, V.21, 1994, pp. 191∼212 https://doi.org/10.1068/b210191
  6. E. Gombrich, Pictorial instructions, in: H.Barlow, C. Blake more, M. Weston-Smith, Images and Understanding, Cambidge Univ. Press, Cambridge, 1990
  7. Kenneth Bouling, The Image, Michigan Press, 1982
  8. Charles Burnette, The Mental Image and Design, Design for Human Behavior, Mcgraw Hill, 1977, pp. 169∼172
  9. Martin Krampen, The Recognition of Building Function, EDRA 8, 1976, p. 404
  10. John Robert Anderson, Cognitive Psychology and Its Application, W. H. Freeman & Company, 1995, pp. 46∼67
  11. Attneave F., Some Informational Aspects of Visual Perception, Psychological Review 61, 1954, 183∼193
  12. L. S. Davis, 'A Survey of Edge Detection Techniques', Computer Graphics and Image Processing, 1975, pp. 248∼270
  13. Parker, James R. Algorithms for Image Processing and Computer Vision. New York: John Wiley & Sons, Inc., 1997. pp. 23-29
  14. Canny, John. 'A Computational Approach to Edge Detection', IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986. Vol. PAMI-8, No. 6, pp. 679-698 https://doi.org/10.1109/TPAMI.1986.4767851
  15. Rafaedl C.Gonzalez & Richard E. Woods, Digital Image Processing, Addison Wesley Longman, 1992
  16. Lee, Han-Seok, 'An Analysis of the Visual Information Process in Architectural Design process', Journal of the Architectural Institute of Korea, 1995. 9