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    Hofstra University
   
 
  Nov 23, 2017
 
 
    
2017-2018 Undergraduate Bulletin
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CSC 173 - Introduction to Computer Vision

Semester Hours: 3
Periodically
This course provides an introduction to the field of computer vision, which deals with the problems of discerning properties of the real world through automatic analysis of digital images and video—for example, identifying the shapes of objects in the 3-D environment, determining how objects/camera are moving, and recognizing people and objects. Topics to be studied include the following: low-level vision; noise; multiple-view geometry; 3-D shape extraction; discovering structure from motion; object detection and recognition; and applications of computer vision. Students complete programming projects using high-level API.
 

Prerequisite(s)/Course Notes:
CSC 171A , or permission of instructor. May not be taken on a Pass/D+/D/Fail basis. No liberal arts credit.


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