ardaduz / math-cgv

Mathematical Foundations of Computer Graphics and Vision - ETHZ, Spring 2019

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Exercises of math-cgv

Mathematical Foundations of Computer Graphics and Vision - ETHZ, Spring 2019

  • HW1 - ROBUST ESTIMATION AND OPTIMIZATION
    handout - report
    • RANSAC for circle fitting
    • IRLS and norms for line fitting
  • HW2 - GLOBAL OPTIMIZATION
    handout - report
    • Branch and Bound for consensus set maximization
    • Linear Programming
  • HW3 - MLS FOR CURVES, MESHES AND IMAGES
    handout - report
    • Curve and Surface Reconstruction Using MLS
    • Image Deformation Using MLS
  • HW4 - SAMPLING PATTERNS AND GRAPH CUTS
    handout - report
    • Analyzing Sampling Patterns
    • Interactive Segmentation with Graph Cut
  • HW5 - RIGID TRANSFORM BLENDING AND VARIATIONAL METHODS
    handout - report
    • Understanding and Utilizing Dual Quaternions
    • Variational Methods - Denoising problems
  • HW6 - NEURAL NETWORKS AND MACHINE LEARNING TECHNIQUES
    handout - report
    • Image inpainting using a neural network

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Mathematical Foundations of Computer Graphics and Vision - ETHZ, Spring 2019

License:MIT License


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