3D Face Modeling Support System for Avatar by Using Interactive Genetic Algorithm
Fangwei Huang, Ivan Tanev, Kastunori Shimohara · 2015
We propose a 3D face modeling system which can help 3D game users to create a unique favorite avatar. Generally, if we want to create a unique avatar in a 3D game, we need to adjust a huge number of parameters and we do not know what will happen until we see the avatar applied the change to. In reality, it costs a lot of time, and is difficult to get an avatar which user wants. To solve this problem, we employ Interactive Genetic Algorithm (IGA) for a user to find an avatar which the user favorites, introduce presentation population to improve the compactification and use idol face data to reduce the search space. The objective of this research is to help users to create a unique avatar easily, quickly and intuitionally.