Camera calibration for natural image studies and vision research.
A dominant theme in vision research is that important characteristics of the visual pathway evolved to be effective in processing natural scenes. Given this perspective, one can learn about the nature of visual processing from a quantitative analysis of natural images. Such analysis can benefit from the camera as a measuring device. As such, the camera should not introduce arbitrary artifacts into the image formation process. This paper describes how to correct a number of unnecessary artifacts associated with obtaining natural scene statistics with a digital camera. For artifacts that are inherently part of image formation, and where elimination is not possible or appropriate, we describe methods for transformation and quantification.
Brady
Mark
M
Department of Psychology, North Dakota State University, Fargo, ND 58105, USA. mark.brady@ndsu.edu
Legge
Gordon E
GE
D002138:Calibration; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010781:Photography / Q000295:instrumentation* / Q000592:standards*; D012015:Reference Standards; D015203:Reproducibility of Results; D012106:Research / Q000295:instrumentation*; D012107:Research Design; D012680:Sensitivity and Specificity; D014481:United States