Shree Nayar

Shree K. Nayar is the T. C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Vision Laboratory (CAVE), which develops computational imaging and computer vision systems. His research is focused on three areas - the creation of novel cameras that provide new forms of visual information, the design of physics-based models for vision and graphics, and the development of algorithms for understanding scenes from images. His work is motivated by applications in the fields of imaging, computer vision, robotics, virtual reality, augmented reality, visual communication, computer graphics and human-computer interfaces.

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Visual Perception (Coursera)

Jan 17th 2022
Visual Perception (Coursera)
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The ultimate goal of a computer vision system is to generate a detailed symbolic description of each image shown. This course focuses on the all-important problem of perception. We first describe the problem of tracking objects in complex scenes. We look at two key challenges in this context. The [...]
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3D Reconstruction - Multiple Viewpoints (Coursera)

Jan 17th 2022
3D Reconstruction - Multiple Viewpoints (Coursera)
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This course focuses on the recovery of the 3D structure of a scene from images taken from different viewpoints. We start by first building a comprehensive geometric model of a camera and then develop a method for finding (calibrating) the internal and external parameters of the camera model. Then, [...]
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Features and Boundaries (Coursera)

This course focuses on the detection of features and boundaries in images. Feature and boundary detection is a critical preprocessing step for a variety of vision tasks including object detection, object recognition and metrology – the measurement of the physical dimensions and other properties of objects. The course presents [...]
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3D Reconstruction - Single Viewpoint (Coursera)

Jan 17th 2022
3D Reconstruction - Single Viewpoint (Coursera)
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This course focuses on the recovery of the 3D structure of a scene from its 2D images. In particular, we are interested in the 3D reconstruction of a rigid scene from images taken by a stationary camera (same viewpoint). This problem is interesting as we want the multiple images [...]
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Camera and Imaging (Coursera)

This course covers the fundamentals of imaging – the creation of an image that is ready for consumption or processing by a human or a machine. Imaging has a long history, spanning several centuries. But the advances made in the last three decades have revolutionized the camera and dramatically [...]
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