| id |
caadria2023_244 |
| authors |
Cutellic, Pierre |
| year |
2023 |
| title |
An Inverse Modeling Method to Estimate Uncertain Spatial Configurations From 2D Information and Time-Based Visual Discriminations |
| doi |
https://doi.org/10.52842/conf.caadria.2023.1.261
|
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 261–270 |
| summary |
This paper focuses on a specific aspect of human visual discrimination from computationally generated solutions for CAAD ends. The bottleneck at work here concern informational ratios of discriminative rates over generative ones. The amount of information that can be brought to a particular sensory modality for human perception is subject to bandwidth and dimensional limitations. This problem is well known in Brain-Computer Interfaces, where the flow of relevant information must be maintained through such interaction for applicative ends and adoption of use in many fields of human activity. While architectural modeling conveys a high level of complexity in its processes, let alone in the presentation of its generated design solutions, promises in applicative potentials of such interfaces must be made aware of these fundamental issues and need developments of appropriate sophistication. This paper addresses this informational bottleneck by introducing a method to retrieve spatial information from the rapid serial visual presentation of generated pictures. This method will be explained and defined as inverse modeling, based on inverse graphics, and its relation to human visual processing. |
| keywords |
Neurodesign, Design Computing and Cognition, Brain-Computer Interfaces, Generative Design, Computer Vision |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (634,815 bytes) |
| references |
Content-type: text/plain
|
Andersen, G. J., Braunstein, M. L., & Saidpour, A. (1998)
 The Perception of Depth and Slant from Texture in Three-dimensional Scenes
, Perception, 27(9), 187-116. Available at: https://doi.org/1.168/p27187
|
|
|
|
|
Aurenhammer, F., & Klein, R. (2000)
Voronoi Diagrams
, Handbook of Computational Geometry, 5(1), 21-29
|
|
|
|
|
Blake, A., Bulthoff, H. H., & Sheinberg, D. (1993)
Shape from Texture: Ideal Observers and Human Psychophysics
, Vision Research, 33(12), 1723-1737. Available at: https://doi.org/1.116/42-6989(93)937-w
|
|
|
|
|
Buhamdan, S., Alwisy, A., & Bouferguene, A. (2021)
Generative Systems in the Architecture, Engineering, and Construction Industry: a Systematic Review and Analysis
, International Journal of Architectural Computing, 19(3), 226-249. Available at: https://doi.org/1.1177/14787712934126
|
|
|
|
|
Clerc, M., & Mallat, S. (2002)
The Texture Gradient Equation for Recovering Shape from Texture
, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(4), 536-549. Available at: https://doi.org/1.119/34.99356
|
|
|
|
|
Cutellic, P. (2019)
Towards Encoding Shape Features with Visual Event-related Potential Based Brain-computer Interface for Generative Design
, International Journal of Architectural Computing, 17(1), 88-12. Available at: https://doi.org/1.1177/147877119832465
|
|
|
|
|
Cutellic, P. (2021)
Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination
, P. F. Yuan, J. Yao, C. Yan, X. Wang, & N. Leach (Eds.), Proceedings of the 22 DigitalFUTURES (pp. 68-78). Springer. Available at: https://doi.org/1.17/978-981-33-44-67
|
|
|
|
|
Cutting, J. E., & Millard, R. T. (1984)
Three Gradients and the Perception of Flat and Curved Surfaces
, Journal of Experimental Psychology: General, 113(2), 198-216. Available at: https://doi.org/1.137/96-3445.113.2.198
|
|
|
|
|
Darko, A., Chan, A. P. C., Adabre, M. A., Edwards, D. J., Hosseini, M. R., & Ameyaw, E. E. (2020)
Artificial Intelligence in the Aec Industry: Scientometric Analysis and Visualization of Research Activities
, Automation in Construction, 112, 1381. Available at: https://doi.org/1.116/j.autcon.22.1381
|
|
|
|
|
Erkelens, C. J. (2017)
Perspective Space As a Model for Distance and Size Perception
, I-Perception, 8(6), 241669517735541. Available at: https://doi.org/1.1177/241669517735541
|
|
|
|
|
Gibson, J. J. (1950)
The Perception of the Visual World (pp
, Xii, 242). Houghton Mifflin
|
|
|
|
|
Gillam, B. J. (1968)
Perception of Slant When Perspective and Stereopsis Conflict: Experiments with Aniseikonic Lenses
, Journal of Experimental Psychology, 78(2), 299-35. Available at: https://doi.org/1.137/h26271
|
|
|
|
|
Gramann, K., Mckendrick, R., Baldwin, C., Roy, R. N., Jeunet, C., Mehta, R. K., & Vecchiato, G. (2021)
Grand Field Challenges for Cognitive Neuroergonomics in the Coming Decade
, Frontiers in Neuroergonomics, 2. Available at: https://doi.org/1.3389/fnrgo.221.643969
|
|
|
|
|
Grenander, U. (1976)
Pattern Synthesis: Lectures in Pattern Theory
, Springer-Verlag. Available at: https://doi.org/1.17/978-1-4612-6369-2
|
|
|
|
|
Grenander, U. (1978)
Pattern Analysis: Lectures in Pattern Theory Ii
, Springer
|
|
|
|
|
Kanatani, K., & Chou, T.-C. (1989)
Shape from Texture: General Principle
, Artificial Intelligence, 38(1), 1-48. Available at: https://doi.org/1.116/4-372(89)966-
|
|
|
|
|
Klingberg, T. (2000)
Limitations in Information Processing in the Human Brain: Neuroimaging of Dual Task Performance and Working Memory Tasks
, Progress BraResearch (Vol. 126, pp. 95-12). Elsevier. Available at: https://doi.org/1.116/S79-6123()269-3
|
|
|
|
|
Knill, D. C. (1998)
Discrimination of Planar Surface Slant from Texture: Human and Ideal Observers Compared
, Vision Research, 38(11), 1683-1711. Available at: https://doi.org/1.116/S42-6989(97)325-8
|
|
|
|
|
Koch, E., Baig, F., & Zaidi, Q. (2018)
Picture Perception Reveals Mental Geometry of 3D Scene Inferences
, Proceedings of the National Academy of Sciences, 115(3), 787-7812. Available at: https://doi.org/1.173/pnas.184873115
|
|
|
|
|
Korteling, J. E. (Hans)., Van De Boer-Visschedijk, G. C., Blankendaal, R. A. M., Boonekamp, R. C., & Eikelboom, A. R. (2021)
Human- Versus Artificial Intelligence
, Frontiers in Artificial Intelligence, 4. Available at: https://doi.org/1.3389/frai.221.622364
|
|
|
|
| last changed |
2023/06/15 23:14 |
|
