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Computer Vision: Schedule WS25

The lecture for the Winter Semester 2025/2026 is held in person. Enclosed, you will find a schedule outlining the lecture and exercise sessions.

Key Dates:
1. Discussion of the Exercise Part and General Course Procedure: October 8, 2025
2. Start of the Lecture Part: October 20, 2025

Below is a list of the lecture contents and the dates for the exercise sessions:

Monday: 16:00 – 18:00
Wednesday: 16:00 – 18:00
Friday: 12:00 – 14:00

Location: FAV Hörsaal 1 Helmut Veith

Time Type Content
08.10.2025, 16:00 – 17:00 E Discussion of the general exercise procedure, Q&A
20.10.2025, 16:00 c.t. V L1: Introduction: What is Computer Vision?

    • General Introduction
    • History of Computer Vision
    • Why is Vision Hard?
22.10.2025, 16:00 c.t. V L2: Structure of Images 1: Image Formation

    • Image Geometry and Formation
    • Types of Projections
24.10.2025, 12:00 c.t. V L3: Structure of Images 2: Texture, Scenes, and Context 1

    • Properties of Light
    • Light Transport – BRDF
    • Structure in Images: Visual Features, Filtering, Transformations
27.10.2025, 16:00 c.t. V L4: Structure of Images 3: Texture, Scenes, and Context 2

    • Linear Image Transform
    • Edges
    • Local Image Analysis
29.10.2025, 16:00 c.t. V L5: Local & Multiscale Representations 

    • Wavelets
    • Local Image Representations
    • Multiscale Image Representations
    • Haar Transform
03.11.2025, 16:00 c.t. V L6: Image Analysis

    • Interest Points, Corners
    • Image Analysis
    • Scene Emergent Features
04.11.2025, 23:59 E Exercise #0 Deadline
05.11.2025, 16:00 c.t. V L7: Scenes 1

    • Scene Recognition
    • Bag of Words
    • SIFT
06.11.2025, 09:00 E Group Finding
07.11.2025, 12:00 c.t. V L8: Scenes 2

    • Clustering
    • Pyramid Matching
    • Support Vector Machine
10.11.2025, 16:00 c.t. V L9. Machine Learning for CV

    • Classification
    • Types of Learning
    • Regression
    • Clustering
    • Association
    • Dimension Reduction
    • ANNs
12.11.2025, 16:00 c.t. V L10. Deep Learning for CV

    • Deep Learning
    • CNNs
    • Image Net
17.11.2025, 16:00 c.t. V  L11. Depth Perception

    • Monocular Cues to Depth
    • Absolute Monocular Cues to Depth
    • 3D Object Categorization
    • Pose Invariance
 

19.11.2025, 16:00 c.t.

 V L12. Single View Reconstruction

    • Camera Geometry and Calibration
    • Three-dimensional reconstruction from single and multiple images
    • Single View Metrology
21.11.2025, 12:00 c.t. V L13. Absolute 3D Reconstruction

    • Absolute Monocular 3D Reconstruction
    • Absolute Binocular 3D Reconstruction
    • Stereo Geometry
    • Essential Matrix
24.11.2025, 15:00 c.t. V L14. Multiview Geometry

    • Correspondence Analysis
    • Multiview Geometry & RANSAC
    • Shape from Motion
25.11.2025, 23:59 E Submission Deadline Exercise #1
04. / 05.12.2025 E Oral Interviews #1
17.12.2025, 15:00, EI 8 Pötzl Exam 1st Exam Option, please register in TISS!
20.01.2026, 23:59 E Submission Deadline Exercise #2
29. / 30.01.2026 E Oral interviews #2