Computer Vision 1 (Winter Term 2022/2023)

Overview

• No lecture on 2023-01-16
• Course (2/2/0) consisting of:
  • Lectures in ASB/0028/H (Zellescher Weg 19) on Mondays, 11:10–13:00
  • Exercise groups
    • online on Mondays, 14:50–16:20
    • in APB/E069 on Tuesdays, 13:00–14:50
    • in APB/E069 on Tuesdays, 14:50–16:40
  • Self-study and moderated discussion in a forum
  • Final Examination
• Lecturer: Bjoern Andres
• Teaching Assistant: Holger Heidrich
• Enrolment (OPAL). Additional rules for enrolment may apply, depending on the study programme.
• Creditable toward the modules CMS-CLS-ELG, CMS-VC-ELG, CMS-VC-ELV1, CMS-VC-ELV2, INF-B-510, INF-B-520, INF-BAS2, INF-BAS7, INF-LE-MA, INF-VERT2, INF-VERT7, MATH-MA-INFGDV

Contents

• Lectures
  • Introduction (slides)
  • Formation of digital images
    • Real projective geometry (slides)
    • Projective camera (slides)
    • Color spaces
  • Operators on digital images
    • Point operators (slides)
      • Gamma correction
      • Histogram equilibration
      • Tone mapping
    • Linear operators (slides)
      • Convolution
      • Averaging filters
      • Derivative filters
    • Non-linear operators (slides)
      • Median filter
      • Bilateral filter
      • Morphological filters
      • Component labeling
      • Distance transform
      • Non-maximum suppression
    • Edge and corner detection (slides)
      • Canny edge detector
      • Structure tensor
      • Harris corner detector
  • Classification of digital images
    • Logistic regression (slides)
    • Naïve pixel classification (slides)
    • Smooth pixel classification as a minimum st-cut problem (slides)
  • Decomposition of digital images
    • Seeded region growing heuristics and their limitations
    • Multicut and lifted multicut problem
    • Local search algorithms
  • Semantic segmentation of digital images (slides)
    • Joint graph decomposition and node labeling problem
    • Local search algorithm
  • Object recognition in digital images (slides)
    • Joint graph decomposition and node labeling problem
    • Local search algorithm
  • Object tracking in digital images
    • Single object tracking
      • Optimization problem
      • Solution by dynamic programming
    • Multiple object tracking
      • Lifted multicut problem
  • Geometric analysis of digital images
    • Panorama stitching
      • Optimization problem
      • Solution by singular value decomposition
    • Stereo vision
      • Epipolar geometry
      • Optimization problem
      • Local search algorithm (RANSAC)