Michael Langer

Michael Langer is an Associate Professor in the School of Computer Science at McGill University and a Member of McGill's Center for Intelligent Machines. His research interests include computational models of human vision and computer vision, focusing on how vision systems estimate 3D scene properties such as shape, scene layout, materials, and lighting. He has explored various visual cues, including shading, shadows, specular reflection, defocus blur, motion parallax, binocular disparity, visibility, and occlusions. Langer holds B.Sc. (Math) and Ph.D. degrees from McGill, an M.Sc. in CS from the University of Toronto, and has completed postdocs at the NEC Research Institute and the Max Planck Institute for Biological Cybernetics. He has been a professor at McGill since 2000.

Michael Langer is a researcher at McGill University, specializing in computer vision. His work focuses on understanding and modeling visual perception, particularly in the context of shape recovery from shading and lighting conditions. He explores how interreflections, shadows, and illumination affect color and shape perception. His research also includes the analysis of motion parallax, depth estimation, and the modeling of light sources. Langer's contributions span both theoretical and applied aspects of vision, with an emphasis on improving the accuracy of shape and depth recovery under complex lighting and environmental conditions.