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11 - The perception of shading and reflectance
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- By E.H. Adelson, Massachusetts Institute of Technology, A.P. Pentland, Massachusetts Institute of Technology
- Edited by David C. Knill, University of Pennsylvania, Whitman Richards, Massachusetts Institute of Technology
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- Book:
- Perception as Bayesian Inference
- Published online:
- 05 March 2012
- Print publication:
- 13 September 1996, pp 409-424
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- Chapter
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Summary
Introduction
The luminance of a surface results from the combined effect of its reflectance (albedo) and its conditions of illumination. Luminance can be directly observed, but reflectance and illumination can only be derived by perceptual processes. Human observers are good at judging an object's reflectance in spite of large changes in illumination; this skill is known as “lightness constancy”.
Most research on lightness constancy has used stimuli consisting of grey patches on a single flat plane. The models are typically based on the assumption that slow variations in luminance are due to illumination gradients, while sharp changes in luminance are due to reflectance edges. The retinex models for use with “Mondrian” stimuli are good examples (Horn, 1974; Land & McCann, 1971). But in three dimensional scenes, sharp luminance changes can arise from either reflectance or from illumination, as illustrated in Figure 11.1. The edge marked (1) is due to a reflectance change, such as might result from a different shade of paint. The edge marked (2) results from a change in surface normal which leads to a change in the angle of incidence of the light – an effect that we may simply refer to as “shading.” As Gilchrist and his colleagues have emphasized (Gilchrist et al., 1983), three-dimensional scenes introduce large and important effects that are completely missed in the traditional approach to lightness perception.
Intrinsic image analysis
Using the terminology of Barrow & Tenenbaum (1978) we may cast the perceptual task as a problem of computing intrinsic images – images that represent the underlying physical properties of a scene.