Martha Elena Zavala Villa

Director: 

Co-Director: 

It is intended to accomplish these objectives by generating seeds of characters that contain the physical characteristics and appearance which are meant to represent the population, for example, height, age, skin color, etc.

Once the seed parameter is obtained, genetic algorithms will be used to allow us to multiply the seeds in order to generate hundreds of synthetic humanoid crowds.

Finally, by using a distance function, we will make sure to get the physical differences among the characters that make up the population to obtain heterogeneous humanoid crowds.

Using parameters as a crowd generation seed, will automate both the characters appearance and the crowd behavior, it may even automatize the crowd’s future possible reactions and even their clothing.

These aspects, will allow us to generate heterogeneous masses, ready to be used in different simulations such as animations, movies, reliable video games, or just to join in different virtual environments.

The editor, is a portable system since it is developed in languages like Java and Python, which allow us to use it on different platforms.

The most important contribution of this dissertation is the parameters seed creation that will allow us to automate various applications, facilitating the development and generation of proofs. This may benefit other research areas that will require the simulation of crowds.