Perception and Cognition for Imaging

Course Number: SC18

Monday 27 January • 8:30 – 12:45
Course Length: 4 hours
Course Level: Introductory/Intermediate
Instructor: Bernice Rogowitz, Visual Perspectives and Columbia University

Learning Outcomes

  • Understand basic principles of spatial, temporal, and color processing by the human visual system.
  • Explore basic cognitive processes, including visual attention and semantics.
  • Develop skills in applying knowledge about human perception and cognition to real-world imaging and visual analytics applications.

Imaging is a very broad field. We produce a wide range of visual representations that support many different tasks in every industry. These representations are created for human consumption, so it is critical for us to understand how the human sees, interprets, and makes decisions based on this visual information.

The human observer actively processes visual representations using perceptual and cognitive mechanisms that have evolved over millions of years. The goal of this tutorial is to provide an introduction to these processing mechanisms, and to show how this knowledge can guide engineering decisions about how to represent data visually. This course will provide a fundamental perceptual foundation for approaching important topics in imaging, such as image quality, visual feature analysis, and data visualization. The course will begin with understanding early vision mechanisms, such as contrast and color perception, cover important topics in attention and memory, and provide insights into individual differences, aesthetics and emotion.

Intended Audience
Imaging scientists, engineers, application developers. Domain experts are also welcome, since imaging plays a pivotal role in today’s application areas, including finance, medicine, science, environment, telecommunications, sensor integration, augmented and virtual reality, art and design, and others. Students interested in understanding imaging systems from the perspective of the human user are also encouraged to attend, as well as anyone interested in how the visual world is processed by our eye-brain system.

Bernice Rogowitz is the Chief Scientist at Visual Perspectives, a consulting and research practice that works with companies and universities to improve visual imaging and visualization systems through a better understanding of human vision and cognition. She created the Data Visualization and Design curriculum at Columbia University, where she is an instructor in the Applied Analytics Program, and is one of the founding Editors-in-Chief (with Thrasyvoulos Pappas) of the new IS&T Journal of Perceptual Imaging, which publishes research at the intersection of human perception/cognition and imaging. Dr. Rogowitz received her BS in experimental psychology from Brandeis University, a PhD in vision science from Columbia University, and was a post-doctoral Fellow in the Laboratory for Psychophysics at Harvard University. For many years, she was a scientist and research manager at the IBM T.J. Watson Research Center. Her work includes fundamental research in human color and pattern perception, novel perceptual approaches for visual data analysis and image semantics, and human-centric methods to enhance visual problem solving in medical, financial, and scientific applications. She is the founder, and past chair of the IS&T Conference on Human Vision and Electronic Imaging, which has been a vital part of the imaging community for over 30 years. Dr. Rogowitz is a Fellow of IS&T and SPIE, and a Senior Member of the IEEE. In 2015, she was named the IS&T Honorary Member, and was cited as a “leader in defining the research agenda for human-computer interaction in imaging, driving technology innovation through research in human perception, cognition, and aesthetics.”

1/27/2020 8:30 AM - 1/27/2020 12:45 PM