Evolving Ambiguous Images
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Artificial Intelligence and the Arts. Pages 2473-2478.
Abstract
This work explores the creation of ambiguous images, i.e., images that may induce multistable perception, by evolutionary means. Ambiguous images are created using a general purpose approach, composed of an expression-based evolutionary engine and a set of object detectors, which are trained in advance using Machine Learning techniques. Images are evolved using Genetic Programming and object detectors are used to classify them. The information gathered during classification is used to assign fitness. In a first stage, the system is used to evolve images that resemble a single object. In a second stage, the discovery of ambiguous images is promoted by combining pairs of object detectors. The analysis of the results highlights the ability of the system to evolve ambiguous images and the differences between computational and human ambiguous images.
@inproceedings{ijcai2015p350,
title = {Evolving Ambiguous Images},
author = {Machado, Penousal and Vinhas, Adriano and Correia, João and Ekárt, Anikó},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2473--2478},
year = {2015},
month = {7},
note = {Special Track on Artificial Intelligence and the Arts},
url = {https://ijcai.org/proceedings/2015/350},
}
TY - CPAPER TI - Evolving Ambiguous Images AU - Machado, Penousal AU - Vinhas, Adriano AU - Correia, João AU - Ekárt, Anikó T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2473 EP - 2478 UR - https://ijcai.org/proceedings/2015/350 ER -Copied
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