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Top–down learning of low-level vision tasks
1997
Current Biology
Perceptual tasks such as edge detection, image segmentation, lightness computation and estimation of three-dimensional structure are considered to be lowlevel or mid-level vision problems and are traditionally approached in a bottom-up, generic and hard-wired way. An alternative to this would be to take a top-down, object-class-specific and example-based approach. In this paper, we present a simple computational model implementing the latter approach. The results generated by our model when
doi:10.1016/s0960-9822(06)00419-2
pmid:9382836
fatcat:lsu7ofudprb3lgngpic2nrlyxu