ENGN 2560
Computer Vision
Brown University · UGRD · Fall 2026
Catalog description
Fundamentals of Computer Vision with an emphasis on multiview geometry and drone imaging. Camera models, Camera calibration, epipolar geometry, essential and fundamental matrices, relative pose estimation, RANSAC, two-view and multiview triangulation, 3D reconstruction, bundle adjustment, Levenberg-Marquardt, absolute pose estimation (PnP/EPnP), drone flight operation and image acquisition, feature-based Visual Odometry (VO), Optical Flow, Direct VO, Simultaneous Localization and Mapping (SLAM), Stereo and Multiview Stereo, pose averaging, trifocal pose estimation, Image-Based Localization (IBL), edge/curve-based odometry, RGBD cameras (Microsoft Kinect, Intel RealSense), surface reconstruction and modeling.
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