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CS 4476 - Intro to Computer Vision |
Introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, stereo, motion estimation and tracking, image classification and scene understanding. Credit will not be awarded for both CS 4476 and CS 4495 or CS 6476.
3.000 Credit hours 3.000 Lecture hours Grade Basis: ALP All Sections for this Course Dept/Computer Science Department Restrictions: Must be enrolled in one of the following Campuses: Georgia Tech-Atlanta * Prerequisites: (Undergraduate Semester level MATH 2605 Minimum Grade of D or Undergraduate Semester level MATH 2401 Minimum Grade of D or Undergraduate Semester level MATH 24X1 Minimum Grade of T or Undergraduate Semester level MATH 2411 Minimum Grade of D or Undergraduate Semester level MATH 2550 Minimum Grade of D or Undergraduate Semester level MATH 2551 Minimum Grade of D or Undergraduate Semester level MATH 2561 Minimum Grade of D or Undergraduate Semester level MATH 2X51 Minimum Grade of T) and (Undergraduate Semester level MATH 1553 Minimum Grade of D or Undergraduate Semester level MATH 1X54 Minimum Grade of T or Undergraduate Semester level MATH 1554 Minimum Grade of D or Undergraduate Semester level MATH 1564 Minimum Grade of D) and ( (Undergraduate Semester level CS 2110 Minimum Grade of C or Undergraduate Semester level CS 2261 Minimum Grade of C) or (Undergraduate Semester level ECE 2020 Minimum Grade of C and Undergraduate Semester level ECE 2035 Minimum Grade of C) ) and (Undergraduate Semester level CS 3510 Minimum Grade of C or Undergraduate Semester level CS 3511 Minimum Grade of C) |
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