Computer-Vision

CS7GV1- Computer Vision- Assignment 01 and 02.

This repository is a part of submission made against Assignments for CS7GV1-2019:20 taken by Prof. Dr. Ing. Rozenn Dahyot, Trinity College Dublin.

The complete assignment questionnaire can be found in \questions.

Topics discussed in Assignment 01

Histogram

• Lab Colour System
• Spatial Derivatives of the Image
• 2D Histogram and Heat-maps
• Back Projection
• Histogram Equalisation

Principal Component Analysis (PCA)

• Principal Components of Image
• Image Reconstruction using n Principal Components
• Distance-From-Feature-Space (DFFS)
• Sum-of-Square-differences (SSD) PCA subtopics are covered with the help of MNIST Dataset

Topics discussed in Assignment 02

MNIST Classification

• Convolutional Neural Networks
• Learning Rate and Weight Decay
• Data Normalisation and Network Regularisation
• Convolution MNIST subtopics are covered with the help of MNIST and Fashion-MNIST Dataset.

Image Denoising

• Gaussian Denoiser- Residual Learning of Deep CNN for Image Denoising
• Peak Signal to Noise Ration (PSNR) and Structural Similarity Index (SSIM) metrics

Semantic Segmentation

• Fully Convolutional Networks for Semantic Segmentation
• Masking and Segmenting
• Intersection over Union (IOU) metric.