CS131: Computer Vision Foundations and Applications

This repository contains the released assignments for the fall 2020 iteration of CS131, a course at Stanford taught by Juan Carlos Niebles and Jiajun Wu .

follow this website to install requirements.

Class Note In Chinese

Homework #0 : Basics (Done)

• Basic linear algebra
• NumPy, and image manipulation using Python

Homework #1 : Filters (Done)

• Linear filters
• Convolution
• Correlation
• Template Matching

Homework #2 : Edges - Smart car lane detection (Done)

• Canny edge detector
• Hough transform
• Lane Detection

Homework #3 : Panorama - Image stitching (Done)

• Harris corner detector
• RANSAC
• HOG descriptor
• Linear blending
• Panorama stitching
• Stitching Multiple Images

Homework #4 : Segmentation - clustering

• Clustering Algorithms
  • K-Means clustering
  • Hierarchical Agglomerative Clustering
• Quantitative Evaluation

Homework #5 : Seam carving

• Image Reducing And Enlarging
• Improved Seam Carving Using Forward Energy
• Object Removal

Homework #6 : Object detection

• Face Detection
  • Hog Feature
  • Image Pyramids
• Deformable Parts Detection
• K-Nearest Neighbors Classification
• Cross Validation Choose Parameter K

Homework #7 : Tracking - optical flow

Homework #8 : Camera Models