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Computer Vision I CSE 252A, Fall 2010 David Friedman Name Student ID E-Mail : : : Assignment #4 (Due date: 12/03/2011 by 9:00 am) Overview In this assignment you will implement the Lucas-Kanade algorithm
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CSE 252A Computer Vision is a course that covers the fundamental concepts and techniques in computer vision, focusing on image formation, image processing, feature extraction, object recognition, and 3D vision.
Students enrolled in the CSE 252A Computer Vision course are required to complete the assignments and projects as part of their coursework.
To fill out CSE 252A Computer Vision, students need to follow the instructions provided by the instructor. This usually involves completing assignments, projects, and exams as prescribed in the course syllabus.
The purpose of CSE 252A Computer Vision is to provide students with a comprehensive understanding of the fundamental principles, algorithms, and applications of computer vision technology.
The specific information required to be reported on CSE 252A Computer Vision may vary depending on the assignments or projects given by the instructor. Generally, students need to submit their implementation code, results, and reports documenting their findings and analysis.
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