Code Monkey home page Code Monkey logo

visual-place-recognition's Introduction

Visual Place Recognition, 2023

Demo Image

Installation:

Note - there is no dataset included due to space constraints

  1. Clone repo
git clone [email protected]:baj31415/visual-place-recognition.git \
&& cd visual-place-recognition
  1. Build
mkdir build && cd build
cmake ..
make 
  1. Run executable, which should generate a html file for the the most similar images in the dataset to the query image
./main
  1. Open the webpage in a web browser

Features Implemented

  • Sift Descriptors for each image in the dataset
  • Kmeans clustering of the Sift descriptors
  • Bag of Visual Words Dictionary
  • Histogram Computation
  • Concatenation of Histograms from the Dataset
  • TF-IDF on the Histograms
  • Histogram comparison with cosine similarity

visual-place-recognition's People

Contributors

baj31415 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.