An efficient technique for object recognition using fractional Harris–Stephens corner detection algorithm

Lavín-Delgado, J. E.; Gómez-Aguilar, J. F.; Urueta-Hinojosa, D. E.; Zamudio-Beltrán, Z.; Alanís-Navarro, J. A.

doi:10.1007/s11042-023-16428-0

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An efficient technique for object recognition using fractional Harris–Stephens corner detection algorithm

Cited by 3 publications

References 42 publications

An Improved Object Detection Algorithm Based on the Hessian Matrix and Conformable Derivative

An Improved Object Detection Algorithm Based on the Hessian Matrix and Conformable Derivative

Insights Into Object Recognition: a Comparative Study of Feature Detection and Matching Algorithms Using Kinect Data

Optimization of parameters for image denoising algorithm pertaining to generalized Caputo-Fabrizio fractional operator

Contact Info

Product

Resources

About