CIS 3365 Lecture Notes - Lecture 16: Principal Curvature, Digital Elevation Model
16 Dec 2020
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Document Summary
David marr in 1982 suggested ways in which the brain might use silhouette information to extract structures. In our perceptual machinery are mechanisms (rules) that contain constraints determining how to interpret silhouette information. The axes of the parts become cognitively connected to form a structural skeleton. One of the consequences of structural theories is that certain simplified views should be easier to read: simplified line drawings may be most appropriate only when rapid. Not all things in the world are made up of closed and discrete components like geons. An undulating terrain hasn"t got any clearly separable components. To some extent, we can still decompose a landscape into primitive features such as hills and valleys. Unessential to perceiving the shape of any given area of the surface. Examples for visualisation: elevation maps, ocean"s floor, maps of physical properties of the environment. The general terms for this class of data objects are 2d scalar field and univariate map.
