successive refinement

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

Some algorithms work by creating a first coarse-grained or approximate result, and then gradually filling in more detail. This can be especially useful in image processing. For example Marr's primal sketch using Laplacian-of-Gaussian filter to initially look for objects and interesting parts of an image at low resolution, and then focuses more detailed processing on the areas of interest.

Used in Chap. 12: page 170