The requirement to predict the appearance of environments, combined with recent developments in computer graphics technology, has provided the impetus to develop the predictive equivalent of photography. Synthetic photography is descriptive of what results from the combination of advanced mathematics applied to the computational problem of predicting lighting effects, acting in concert with high resolution computer controlled graphical output. A synthetic photograph is an image created from surface luminances that are mapped (transformed) into brightnesses. These brightnesses are located on a picture plane according to the laws of single point perspective projection, using shades or intensities which are proportional to the room surface brightnesses. These synthetic photographs must be 'usefully close' to the result of real photography of the space were it actually in existence. 'Usefully close,' though difficult to define, is determined by the resolution (grain) of the image, the luminance/brightness accuracy, the size/proportion accuracy, and the color of the image. The article discusses each of these factors in detail.
|Original language||English (US)|
|Number of pages||4|
|Journal||Lighting Design and Application: LD and A|
|State||Published - Aug 1985|
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering