ETH-Computer-Vision-Course-FS2023

This repo contains all my code and reports to the six mini-projects of the FS2023 Computer Vision Course at ETH. FYI, I obtained full marks on all these projects.

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Assignment 1

This assignment is about implementing the Harris Corner Detector and Feature Description & Matching algorithm.

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Assignment 2

This assignment is to implment a MLP to first classify the toy 2D point cloud and then scale to MNIST dataset.

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Assignment 3

This assignment consists of two parts:

• A bag-of-words image classifier that decides whether a test image contains a car (back view) or not.
• A CNN-based image classification network on CIFAR-10 dataset for multi-class image classification.

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Assginment 4

There are two subtasks in this assignment. First, we need to implment a mean-shift algorithm for image segmentation. Second, we need to complete an implmentation for a simplified version of SegNet.

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Assignment 5

This assignment is about implementing the Condensation Tracker.

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Assignment 6

This mini-project is composed of two parts:

• implement the Structure from Motion algorithm to produce a reconstruction of a small scene.
• implement the RANSAC (RANdom SAmple Consensus) algorithm for robust model fitting.