Features and Boundaries

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University, where he leads the Columbia Vision Laboratory (CAVE). His laboratory specializes in developing cutting-edge computational imaging and computer vision systems. Nayar’s research focuses on three primary areas: the creation of innovative cameras that offer new types of visual information, the design of physics-based models for vision and graphics, and the development of algorithms aimed at understanding and interpreting scenes from images.Professor Nayar’s work is highly interdisciplinary, bridging the domains of imaging, computer vision, robotics, virtual and augmented reality, visual communication, computer graphics, and human-computer interaction. His pioneering research has significant real-world applications in these fields, advancing both the technology and our understanding of visual systems.In addition to his research, Nayar is an educator, teaching several advanced courses at Columbia University, including 3D Reconstruction - Multiple Viewpoints, 3D Reconstruction - Single Viewpoint, Camera and Imaging, Features and Boundaries, and Visual Perception. These courses reflect his expertise in computer vision and imaging technologies and contribute to shaping the next generation of researchers and engineers in these fields.