Stony Brook University Computer Science

Prof. Francois Rameau will be giving a talk on "Applied Computational Geometry for Vision and 3D Perception".

Please find the seminar details below:
Title: Applied Computational Geometry for Vision and 3D Perception
Date & Time: Friday, October 17, 2 PM
Venue: B204

Abstract 
This talk introduces several computer vision problems approached through geometric reasoning. Simple concepts from computational geometry are applied to practical tasks such as keypoint selection, epipolar filtering, and camera pose estimation. These topics are presented through a series of works, some already published and others still in progress, illustrating how geometric thinking can lead to compact and effective algorithmic solutions. Beyond the technical aspects, the talk highlights the intuition behind these methods and discusses the current positioning of geometry within 3D computer vision, its relevance, but also its gradual obsolescence in a field increasingly dominated by data-driven models.

Speaker Bio

Francois Rameau is an Assistant Professor at the State University of New York (SUNY) in Korea.

He received his Ph.D. in Vision and Robotics from the University of Burgundy (France) in 2014 under the joined supervision of Prof. Cedric Demonceaux, Prof. Desire Sidibe, and Prof. David Fofi. Later, he joined the Korea Advanced Institute of Science and Technology (KAIST, South Korea), first as a postdoctoral researcher and then as a Research Professor under the KRF fellowship program (2017-2023). 

Dr. Rameau's research interests center around 3D Computer Vision, Machine Learning, and Collaborative Robotics. He has an accomplished research track record, with numerous publications in top-tier venues.