Computer Vision and Pattern Recognition
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2021008667
S$1,380
Original: S$4,600
Save S$3,220
About This Course
The learners can apply the skills learned to the following
(a) the basic skills needed in handling images and videos,,
(b) the basic theories needed to understand geometrical computer vision, and (c) pattern recognition using principal component analysis
What You'll Learn
This module is for students who are interested in computer vision and its applications. It covers (a) the basic skills needed in handling images and videos, (b) the basic theories needed to understand geometrical computer vision, and (c) pattern recognition. Topics covered in image handling include: contrast stretch, histogram equalization, noise removal, and color space. Topics covered in geometrical vision include: affine transform, vanishing points, camera projection models, homography, camera calibration, rotation representations including quaternions, epipolar geometry, binocular stereo, structure from motion. Topics covered for pattern recognition include principal component analysis.
Entry Requirements
Bachelor's degree in computing, engineering, science
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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