This subject introduces students to understanding of the fundamental problems in computer vision, and their state-of-the-art solutions. Topics covered in detail include: camera geometry, image formation, image filtering, thresholding and image segmentation, edge, point and line detection, geometric frameworks for vision, single view and two views geometry; 3D modelling and reconstruction, camera calibration; stereo vision, motion and optical flow; object recognition, appearance based scene recognition; pose estimation in perspective images, etc. The course is featured by an extensive practical component including computer labs and term projects that provides the students with a tool box of skills in image processing and computer vision.
This subject introduces students to understanding of the fundamental problems in computer vision, and their state-of-the-art solutions. Topics covered in detail include: camera geometry, image formation, image filtering, thresholding and image segmentation, edge, point and line detection, geometric frameworks for vision, single view and two views geometry; 3D modelling and reconstruction, camera calibration; stereo vision, motion and optical flow; object recognition, appearance based scene recognition; pose estimation in perspective images, etc. The course is featured by an extensive practical component including computer labs and term projects that provides the students with a tool box of skills in image processing and computer vision.
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