CONFIGR: a vision-based model for long-range figure completion (Carpenter et al. 2007)

"CONFIGR (CONtour FIgure GRound) is a computational model based on principles of biological vision that completes sparse and noisy image figures. Within an integrated vision/recognition system, CONFIGR posits an initial recognition stage which identifies figure pixels from spatially local input information. The resulting, and typically incomplete, figure is fed back to the “early vision” stage for long-range completion via filling-in. The reconstructed image is then re-presented to the recognition system for global functions such as object recognition. ... Multi-scale simulations illustrate the vision/recognition system. ..."

Region(s) or Organism(s): Neocortex

Model Concept(s): Pattern Recognition

Simulation Environment: MATLAB


Carpenter GA, Gaddam CS, Mingolla E. (2007). CONFIGR: a vision-based model for long-range figure completion. Neural networks : the official journal of the International Neural Network Society. 20 [PubMed]

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