Carleton University · COMP 4102

Computer Vision

Credits : 0.5 creditReference year : 2026-27

Description

The basic ideas and techniques of computer vision. The central theme is reconstructing 3D models from 2D images. Topics include: image formation, image feature extraction, camera models, camera calibration, structure from motion, stereo, recognition, augmented reality, image searching.

Prerequisites

  • Prerequisite(s): ( COMP 2404 or SYSC 3010 or SYSC 3110 ) and ( MATH 1104 or MATH 1107 ).

Conditions and arrangements

  • Prerequisite(s): ( COMP 2404 or SYSC 3010 or SYSC 3110 ) and ( MATH 1104 or MATH 1107 ).
  • Lectures three hours a week.
Reference text in its original language

The basic ideas and techniques of computer vision. The central theme is reconstructing 3D models from 2D images. Topics include: image formation, image feature extraction, camera models, camera calibration, structure from motion, stereo, recognition, augmented reality, image searching.

  • Prerequisite(s): ( COMP 2404 or SYSC 3010 or SYSC 3110 ) and ( MATH 1104 or MATH 1107 ).
  • Lectures three hours a week.

Sources and references

Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.

Source reference : https://calendar.carleton.ca/undergrad/courses/COMP/

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