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Image Analysis

This repository contains the work done within the course Image Analysis. The directory reports includes the exported PDF files of the MATLAB live text files, along side with the final report of the project.

Lab 1: The SIFT Descriptor

List of topics:

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

Lab 2: Learning and Convolutional Neural Networks

List of topics:

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

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

Lab 4: Triangulation

List of topics:

  • Using RANSAC
  • Least Squares Triangulation
  • Essential Matrix

Project: Digit Recognition in Scale Space

List of topics:

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