Abstract
A model of human visual perception is presented. It is based on probability theoretic considerations. A probabilistic approach is suitable to model perception, as it can absorb the bio-induced complexity of the human vision process. In this way the perception and related concepts are quantified. The results provided by the model corroborate with common human vision experience confirming the validity of the model. The significance of distance on perception is described and exemplified in two applications for architectural design.
| Original language | English |
|---|---|
| Pages (from-to) | 35-60 |
| Number of pages | 26 |
| Journal | Journal of Design Research |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
Keywords
- early vision
- early vision probability
- perception measurement
- perception modelling
- perception of ceiling
- scene description by perception
- visual attention
- visual perception