Computer Vision in Industry (EX)

Course Details

Lecturer

Robert Sablatnig
Irene Ballester Campos

LVA-Nr.

193.194

Typ

Exkursion (EX)

Links

TISS

TUWEL

This excursion with lecture is an elective course in the Module Applications of Computer Vision in the Visual Computing Master.
The elective course “Computer Vision in Industry” (aka Applications of Computer Vision) is a 2h lecture/excursion combination held in winter terms by Robert Sablatnig and Irene Ballester Campos. EX means the course consists of a lecture component and an excursion component. Each component comprises 50% of the overall course content and activities. Robert Sablatnig delivers the lecture portion at the beginning of the semester and covers the theoretical foundations, core concepts, and background information necessary to understand the subject matter. The guided excursion component is planned and conducted by Irene Ballester Campos and involves practical, hands-on experiences that complement the theoretical knowledge gained in the lectures. It includes guided field trips, on-site observations, and interactive sessions that provide real-world insights and applications of the concepts learned.

The course is structured into two components:

1. Lecture Component: This includes six lectures and an examination.
2. Practical Component: This involves four group meetings (including the excursion). The practical work culminates in a final oral presentation and a written report.

If you have questions about the excursion or trouble finding the link, please email irene.ballester@tuwien.ac.at.

Content

What are the basic concepts of computer vision, and how are they applied in various industrial contexts? This course aims to answer these questions by explaining how digital images are created with digital cameras and the subsequent steps for automatically extracting information from them.

The starting point is digital images and their creation, followed by an in-depth look at classical image processing techniques such as image enhancement and compression. The next step involves developing digital filters and segmentation techniques to extract specific information. The course illustrates basic concepts, fundamental problems, simple solutions, and standard fields of image-processing applications through examples. No prior knowledge of image processing is required, but a basic understanding of mathematics is necessary.

The exercise group work involves participating in an excursion and documenting the problems encountered and the solutions proposed in this computer vision application. At the end of the semester, the findings will be presented orally and in a written report.

Aims of the Course:

The main goal of the course is to provide a foundational understanding of the theory and practice of computer vision, along with its applications to various case studies. Key concepts include image acquisition, digital images, digital filters, local and global operators, and segmentation techniques, with a focus on their practical applications.

Schedule

Time Type Content
01.10. to 31.10.2026 E Registration for Excursion: Please register with TISS.
19.10.2026
13:00 c.t.,
Sem FAV 01 A
V/E Introduction:

Preliminary discussion, Overview on EX and exercise organization intro_CVI

Input Devices: Simple Sensors, Distance Sensors, Inertial Sensors, RFID, Gyroscope, GPS, Tracking

09.11.2026
13:00 c.t., Sem FAV 01 A
E 1. Excursion exercise: Details on excursion, work plan, workflow, preparations. prep_CVI
16.11.2026
13:00 c.t., Sem FAV 01 A
V Image Acquisition: Image geometry, lenses, Radiometry, Resolution, sampling theorem, quantization, digital cameras,
Color:
Spectrum, CFA, Multispectral Imaging
Illumination: Optical Filter, Light Sources, Lighting Techniques
23.11.2026
13:00 c.t., Sem FAV 01 A
V Morphological Operations: Erosion, Dilation, Opening, Closing
30.11.2026
13:00 c.t., Sem FAV 01 A
V Shape Representation and Analysis:

  • Binary Region Analysis Connected Components, Shape Measures (Moments), Boundaries, Template Matching
14.12.2026
13:00 c.t., Sem FAV 01 A
V Industrial Computer Vision: Automatic Visual Inspection, Coordinate Measurement,
Identification systems, applications
TBD
9:30 – 11:30. Address: Rechte Wienzeile 29, 1040
E 2. Excursion to SEA.AI: 
Please be there 10 min before the excursion starts.
10.01.2027 E Deadline: Submission of drafts
14.01.2027
13:00 c.t., Sem FAV 01 A
E 3. Excursion exercise: Discussion of the draft document, improvements, planning of presentation.
Slides: Draft Discussion
Template for presentation: cvl_presentation_template_2021
18.01.2027
13:00 c.t., Sem FAV 01 A
E 4. Final Presentations:
4-page document & 1 presentation (max. 8 min.) plus discussion per person.
25.01.2027
13:00 c.t., Sem FAV 01 A
V  Exam – Please register in TISS

Requirements to pass the course

The slides regarding the winter term 2020/21 excursion can be found here. The excursion in 2026/2027 will go to Sea.AI (date TBD). Address: Rechte Wienzeile 29, 1040 Wien.

Examples from a previous semester:

Registration for the course

Registration for the course is required and can be completed through the VUT teaching platform, TISS.

Examination

The examination is conducted in written form.

Time and Place

The lectures are held on Mondays at 13:15 sharp in Seminarraum FAV 01 A (Seminarraum 183/2)
The course begins with a general preliminary discussion on October 19th, 2026,13:00 c.t.