Image Analysis Course

Published:

Open in GitHub

Lab 1: The SIFT Descriptor

List of topics:

  • Gradient Histograms
  • A SIFT-like Descriptor
  • Digit Classification
  • Using the SIFT code from vlfeat

PDF report available here.

Lab 2: Learning and Convolutional Neural Networks

List of topics:

  • Leaning a Linear Classifier
  • Training the Classifier
  • Convolutional Neural Networks

PDF report available here.

Lab 3: Image Registration

List of topics:

  • Minimum Correspondences
  • Writing a Minimal Solver
  • Computing Residuals
  • Writing a RANSAC-based Solver
  • Aligning Images
  • Aligning Images with known orientation
  • Warping
  • Least Squares

PDF report available here.

Lab 4: Triangulation

List of topics:

  • Using RANSAC
  • Least Squares Triangulation
  • Essential Matrix

PDF report available here.

Project: Digit Recognition in Scale Space

List of topics:

  • Model Design and Training
  • Scale Space
  • Non Maximum Suppression (NMS)
  • NMS across Scale Levels
  • Evaluation

PDF report available here.