9 Videos
Neural Networks
8 Videos
Appearance Matching
6 Videos
Image Segmentation
16 Videos
Optical Flow | Structure from Motion | Object Tracking
12 Videos
Camera Calibration | Uncalibrated Stereo
18 Videos
Image Formation | Image Sensing | Binary Images
10 Videos
Depth from Defocus | Active Illumination Methods
19 Videos
Radiometry and Reflectance | Photometric Stereo | Shape from Shading
16 Videos
Edge Detection | Boundary Detection | SIFT Detector
12 Videos
Image Processing I | Image Processing II
12 Videos
Image Stitching | Face Detection
7 Videos
Introduction
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About
First Principles of Computer Vision is a lecture series presented by Shree Nayar who is faculty in the Computer Science Department, School of Engineering and Applied Sciences, Columbia University. Computer Vision is the enterprise of building machines that “see.” This series focuses on the physical and mathematical underpinnings of vision and has been designed for students, practitioners, and enthusiasts who have no prior knowledge of computer vision.
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