This method is a SIFT-like one, but specifically designed for egomotion computation. The key idea is that it avoids some of the steps SIFT gives, so that it runs faster, at the cost of not being so robust against scaling. The good news is that in egomotion estimation the scaling is not so critical as in registration applications, where SIFT should be selected.

Project Activity

See All Activity >

Follow FFME

FFME Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of FFME!

Additional Project Details

Registered

2013-07-09
Report inappropriate content