Jalisco Talent Land 2019

This course explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors. The course presents a brief overview of what you can find in the monograph published by the speaker in the Natural Computing Series of Springer. Here, we will briefly review the state-of-the-art to introduce the relevant terminology, while offering historical and philosophical motivations for the key research problems in the field. We present results of real working programs and give details for the implementation in computational systems. The talk will be of value to researchers, engineers , and students working in computer vision, robotics, evolutionary computing, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence. We will introduce to the paradigm of brain programming to approach computer vision problems.