Profile
S$4,600.00 S$1,380.00 (after SkillsFuture subsidy)
Last verified: 2026-08-03
Always confirm current pricing and eligibility on MySkillsFuture before enrolling or claiming SkillsFuture Credit.
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.
Minimum Entry Requirement
Bachelor's degree in computing, engineering, science