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Umeå University

Project course in Machine Vision

The course is about an application within one or more of the subjects Image Analysis, 3d Reconstruction, and Pattern Recognition. The relevant topics and theory about a project management model, e.g. Scrum, are introduced initially, followed by a larger software development project. The design of the project varies…

  • Higher education
  • Information unavailable
  • 25 March 2027
  • Information unavailable
  • Information unavailable
  • 50 %

Overview

The course is about an application within one or more of the subjects Image Analysis, 3d Reconstruction, and Pattern Recognition. The relevant topics and theory about a project management model, e.g. Scrum, are introduced initially, followed by a larger software development project. The design of the project varies from year to year. Examples of possible projects are: - Design an application that takes a set of images of a living room, builds a 3D model of it and visualizes it together with the IKEA bookcase "Billy" (or another piece of furniture). - Design an application that given a number of scanned itemized phone bills calculates the phone subscription plan that would be the cheapest. - Design an application that given a point cloud acquired by a laser scanner in a sparse forest, identifies trees and calculates their diameter at breast height. - Develop a method that given inputs such as digital images and/or 3D point clouds from a forest, detects trees and classifies tree species. - Identify and localize fruits in images using classifier fusion. - Analyze 3D images from a Kinect-camera and detect people, trees, shrubs, and stones.

Admission scores

Uppgift saknasVerified data is not connected to this education offering.

Entry requirements

At least 90 ECTS, including 60 ECTS Computing Science, or 120 ECTS within a study programme. At least 7.5 ECTS programming; 7.5 ECTS linear algebra; 7.5 ECTS differential calculus; and 7.5 statistics. Proficiency in English equivalent to the level required for basic eligibility for higher studies.

The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.

Source, measure and data quality
Source
Skolverket Susa-navet
Period
2027-03-25
Measure
Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
Population
Education offering e.uoh.umu.5dv190.a5709.20271
Last checked
2026-09-23T10:39:35.037285+00:00
Limitation
Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.

Programme content

Uppgift saknasVerified data is not connected to this education offering.

Study structure

Uppgift saknasVerified data is not connected to this education offering.

Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

Uppgift saknasVerified data is not connected to this education offering.

Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

Uppgift saknasVerified data is not connected to this education offering.

Completion and outcomes

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About the provider

Umeå University

Provider for the published education offering.

Sources and data quality

Education facts for the selected offering come from Skolverket Susa-navet.

Retrieved . Published . Times are shown in Swedish local time.

Source identity and publication version
Publication version
8e217193-f5fa-4778-b085-a4521fd03e8d
Education identity in the source
i.uoh.umu.5dv190.a5709.20271
Offering identity in the source
e.uoh.umu.5dv190.a5709.20271
Education-form source code
HS
Education code in the source
5DV190
Change time according to the source
2025-12-11T08:05:33

The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.