Evolving visual representations

This source preferred by Ari Sarafopoulos

Authors: Sarafopoulos, A. and Buxton, B.

http://doi.acm.org/10.1145/1179622.1179646

Start date: 30 July 2006

DOI: 10.1145/1179622.1179646

A number of evolutionary systems exist that allow the generation of esthetically pleasing images and animation. Most of these systems rely on "user-centric" fitness functions based on interactive selection. Although interactive selection is a useful tool that allows for subjective fitness evaluation, it is also restrictive as it works with a small population of individuals, and leads to a process where the user has no detailed quantitative control. We investigate a technique that enables generation of pleasing visual results that don't rely on interactive selection. The technique follows a simple principle, visual representation.

This data was imported from DBLP:

Authors: Sarafopoulos, A. and Buxton, B.

Editors: Finnegan, J.W. and McGrath, M.

https://doi.org/10.1145/1179622

Journal: SIGGRAPH Research Posters

Pages: 22

Publisher: ACM

This data was imported from Scopus:

Authors: Sarafopoulos, A. and Buxton, B.

Journal: ACM SIGGRAPH 2006 Research Posters, SIGGRAPH 2006

ISBN: 9781595933645

DOI: 10.1145/1179622.1179646

© 2006 ACM. A number of evolutionary systems exist that allow the generation of esthetically pleasing images and animation. Most of these systems rely on "user-centric" fitness functions based on interactive selection. Although interactive selection is a useful tool that allows for subjective fitness evaluation, it is also restrictive as it works with a small population of individuals, and leads to a process where the user has no detailed quantitative control. We investigate a technique that enables generation of pleasing visual results that don't rely on interactive selection. The technique follows a simple principle, visual representation.

The data on this page was last updated at 05:13 on February 22, 2020.