Developing Computer Vision Applications Part 2: Computer Vision in Depth

TGS-2022010842

School of Computing (SOC)

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Objectives

This course covered Computer Vision in depth: * 3D Reconstruction - Camera calibration - Photogrammetry - Structure from Motion - Photometric Stereo * Object Detection in depth - Faces, pedestrians, other objects, Segmentation * Video Analysis in depth - Optical flow, Tracking, Temporal alignment, Action recognition



Who Should Attend

Computer Vision engineers and specialist




Entry Requirements

Diploma




Class Schedule




Lesson Delivery

1) Facilitated Learning - 41 hours 2) Assessment - 1 hours.




Full Fees (before GST)

S$5700.00




Nett Fees payable after SSG Funding



NA


Last updated: 04 October 2024

Upcoming Course Dates
TBC

Delivery Mode**
Face-to-Face

Course Code
COM-DCVA2

Funding Type
SSG Funding
Eligible for SkillsFuture Credit (SFC)
Alumni eVoucher (L3)

Type
Short Course

Stacks/ Bundles to
NA

Audit/Graded
Nil

Area of Interest
AI & Machine Learning