Reconstructing Reality: From Physical World to Virtual Environments

Explore cutting-edge techniques for reconstructing reality in virtual environments in this 50-minute conference talk by Ming C Lin at BIMSA. Delve into the integration of classical model-based methods and statistical learning techniques to address complex challenges in data-driven modeling. Examine innovative approaches for flow reconstruction in traffic visualization, learning heterogeneous crowd behaviors from video, and simultaneous estimation of deformation and elasticity parameters from images and video. Discover how these advancements contribute to understanding collective behaviors, developing improved models for complex dynamical systems, enhancing medical diagnosis and treatment, and advancing cyber-manufacturing of customized apparel. Gain insights into the future directions and challenges in the field of reconstructing reality from the physical world to virtual environments.