Computational cognitive color perception
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Comprehension of aesthetical color characteristics based on a computational model of visual perception and color cognition are presented. The computational comprehension is manifested by the machine's capability of instantly assigning appropriate colors to the objects perceived. They form a scene with aesthetically pleasing characteristics. The present approach to computational cognition is principally the same as contrived earlier [1]. This work distinguishes itself from the earlier work through the involvement of color differences. The color difference computations are carried out based on a standard human color observer model. The color difference information is combined with geometric perception information using the method of fuzzy neural tree based on likelihood. The study exemplifies the suitability of the computational cognition for modeling cognition phenomenon. Cognitive color perception in computational form has generic relevance to applications involving human-like aesthetical appreciation, as is the case in building architecture, for instance and other design tasks. © 2016 IEEE.
Açıklama
IEEE Computational Intelligence Society (CIS)
2016 IEEE Congress on Evolutionary Computation, CEC 2016 -- 24 July 2016 through 29 July 2016 -- -- 124911
2016 IEEE Congress on Evolutionary Computation, CEC 2016 -- 24 July 2016 through 29 July 2016 -- -- 124911
Anahtar Kelimeler
Auto-association, Cognitive computing, Color difference, Fuzzy neural tree, Genetic algorithm, Visual perception
Kaynak
2016 IEEE Congress on Evolutionary Computation, CEC 2016
