Each seminar highlights a different speaker who will discuss their latest research projects, cutting-edge technology or what is happening within certain technological industries. These industries include biomedical technologies or microsystems, assistive technologies, automation and intelligent systems, unmanned systems, advanced manufacturing and composite materials.
Abstract:
Our world is inherently geometric because it is composed of three-dimensional objects that exist in space and have physical dimensions. We use geometry to represent these objects’ properties and relationships, such as angles, distances, and shapes. Moreover, objects (and quantities) in our world follow physics laws that determine their interaction and allow us to estimate their present and future state.
Geometric computer vision and physics-informed machine learning are two powerful tools that are increasingly getting attention because of their applications in various fields of research and industry, such as medical imaging, autonomous vehicles, and 3D reconstruction. This talk discusses research examples incorporating prior knowledge about the geometrical and physical constraints inherent to the 3D world into state-of-the-art computer vision and machine learning pipelines. We will show how geometric computer vision enables the analysis and understanding of complex 3D structures and environments, while physics-informed machine learning provides insight into the underlying physical phenomena to drive the machine learning models into a better representation of complex systems.
Dr. Patiño:
Dr. Patiño is an assistant professor in the Computer Science and Engineering Department at UTA. His research interests revolve around machine learning and geometric approaches to computer vision with applications in robotics. He focuses on 3D vision, symmetry detection, 3D Reconstruction, graph neural networks, robot perception, and reinforcement learning. Please see abstract below for more information on his presentation.
Date:
November 11, 2024
Time:
12:00pm
Location:
UTARI Boardroom 125
7300 Jack Newell Blvd. S
Fort Worth, TX 76118