Real-time driver state detection A vision system for controlling an industrial robot with hand movements Integration of a camera and virtual reality with a robotic arm Application of computer vision in the recognition and interpretation of sign letters Mapping of characteristic points of the human face using machine learning and Blender software Six-legged robotic insect Two-way communication based on the MQTT protocol within the virtual and real environment

Mapping of characteristic points of the human face using machine learning and blender software

Student: Petra Gregov

The topic of this paper is to investigate artificial intelligence methods for the detection and mapping of characteristic features of the human face and their implementation in Python and Blender for the animation of 3D models. The most efficient such a method are convolutional neural networks that accurately distinguish patterns in given images. Their working principle and suitable python libraries are explained in the first part of the work. While the second part of the paper shows how to add and adjust 3D models and how to achieve their animation within the Blender graphics software. The animation was performed in python code using the OpenPose library.

Repository: https://repozitorij.fsb.unizg.hr/islandora/object/fsb%3A8535