Code Monkey home page Code Monkey logo

Comments (2)

ducha-aiki avatar ducha-aiki commented on July 17, 2024

The output of AffNet is the "canonical shape" of the local feature (think of SIFT), not the transformation between images.
Please, check the AffNet paper (or any other local feature detection paper such as Hessian-Affine for more information)

from affnet.

ducha-aiki avatar ducha-aiki commented on July 17, 2024

https://kornia-tutorials.readthedocs.io/en/latest/_nbs/image_matching_adalam.html
Check this image from AffNet example. The ellipses in each image are what predicted in AffNet. Then we match them based on local descriptor, thus establishing the correspondence.
3691935b2cfa96726e3bda57aae11d144a4788ad21e8334bff7070d13db28b48

from affnet.

Related Issues (20)

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.