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Explore robust parameter estimation in computer vision through this seminar series featuring Dr. Huu Le, a Postdoctoral Research Fellow at Chalmers University of Technology. Delve into the crucial role of robust model fitting in various computer vision applications, particularly 3D vision tasks like structure from motion and point cloud alignment. Gain insights into the challenges of handling data contaminated by large fractions of outliers and solving robust estimation for large-scale data. Learn about existing methods commonly employed to address these issues, and discover recent algorithmic developments from Dr. Le's research group. Understand the future research directions for tackling this complex problem in the field of computer vision.
