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The Hierarchical Evolution in Human Vision Modeling
Author(s) -
Ballard Dana H.,
Zhang Ruohan
Publication year - 2021
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12527
Subject(s) - artificial intelligence , complement (music) , perspective (graphical) , computer science , robotics , cognitive science , machine learning , psychology , robot , biochemistry , chemistry , complementation , gene , phenotype
Computational models of primate vision took a significant advance with David Marr's tripartite separation of the vision enterprise into the problem formulation, algorithm, and neural implementation; however, many subsequent parallel developments in robotics and modeling greatly refined the algorithm descriptions into very distinct levels that complement each other. This review traces the time course of these developments and shows how the current perspective evolved to have its alternative internal hierarchical organization.