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Name of course : Computer Vision
Description : Analysis of images by computers. Specific attention given to analysis of the geometric features of objects in images, such as region size, connectedness and topology. Topics include: segmentation, template matching, motion analysis, boundary detection, region growing, shape representation, 3-D object recognition including graph matching.
Prerequisites : MA 501 and MA 502
Corequisites :
Comments :
Average user rating :
Average GPA of classes in course :
Std. dev. of classes in course :
Percentile within all courses : %
Percentile within department courses : %
 Fall 2005
Class Instructor GPA Std. Dev. Percentile Users
ECE 763 section 001 Snyder % 0
 Fall 2004
Class Instructor GPA Std. Dev. Percentile Users
ECE 763 section 001 Snyder % 0
 Fall 2003
Class Instructor GPA Std. Dev. Percentile Users
ECE 763 section 001 % 0
ECE 763 section 002 Snyder % 0
 Fall 2002
Class Instructor GPA Std. Dev. Percentile Users
ECE 763 section 001 Snyder % 0
 Fall 2001
Class Instructor GPA Std. Dev. Percentile Users
ECE 763 section 001 Snyder % 0

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