Computational Cognitive Color Perception

Ciftcioglu, O.; Bittermann, M.S.

doi:10.1109/CEC.2016.7744068

Computational Cognitive Color Perception

Title

Computational Cognitive Color Perception

Author

Ciftcioglu, O. (TU Delft Design Informatics)
Bittermann, M.S. (Maltepe University)

Date

2016

Abstract

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.

Subject

visual perception
color difference
cognitive computing
genetic algorithm
fuzzy neural tree
auto-association

To reference this document use:

http://resolver.tudelft.nl/uuid:54958976-7e5e-4120-abf1-fc3161033359

DOI

https://doi.org/10.1109/CEC.2016.7744068

Publisher

IEEE

ISBN

978-150900622-9

Source

Proceedings 2016 IEEE Congress on Evolutionary Computation (CEC)