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.
Follow FFME
Other Useful Business Software
Streamline Azure Security with Palo Alto Networks VM-Series
Improve your security posture and reduce incident response time. Use the VM-Series to natively analyze Azure traffic and dynamically drive policy updates based on workload changes.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of FFME!