# cs131_fall2020

**Repository Path**: ranzijun/cs131_fall2020

## Basic Information

- **Project Name**: cs131_fall2020
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-03-30
- **Last Updated**: 2022-03-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](http://vision.stanford.edu/teaching/cs131_fall2021/assignments.html) to install requirements.

### [Class Note In Chinese](https://yanzzzzzzzzz.github.io/tags/cs131/)

# Homework #0 : Basics (Done)
* Basic linear algebra
* NumPy, and image manipulation using Python

![](/result/hw0.png)

# Homework #1 : Filters (Done)
* Linear filters
* Convolution 
* Correlation
* Template Matching

![](/result/hw1.png)
# Homework #2 : Edges - Smart car lane detection (Done)
* Canny edge detector
* Hough transform
* Lane Detection

![](/result/hw2.png)

![](/result/hw2_1.png)
# Homework #3 : Panorama - Image stitching (Done)
* Harris corner detector
* RANSAC
* HOG descriptor
* Linear blending
* Panorama stitching
* Stitching Multiple Images

![](/result/hw3.png)
# Homework #4 : Segmentation - clustering
* Clustering Algorithms
    * K-Means clustering
    * Hierarchical Agglomerative Clustering
* Quantitative Evaluation

![](/result/hw4.png)
# Homework #5 : Seam carving
* Image Reducing And Enlarging
* Improved Seam Carving Using Forward Energy
* Object Removal

![](/result/hw5.png)
# Homework #6 : Object detection
* Face Detection
    * Hog Feature
    * Image Pyramids
* Deformable Parts Detection
* K-Nearest Neighbors Classification
* Cross Validation Choose Parameter K

![](/result/hw6.png)
# Homework #7 : Tracking - optical flow

# Homework #8 : Camera Models