A Hybrid Approach for Image Acquisition Methods Based on Feature-Based Image Registration

This paper presents a novel hybrid approach to feature detection designed specifically for enhancing Feature-Based Image Registration (FBIR). Through an extensive evaluation involving state-of-the-art feature detectors such as BRISK, FAST, ORB, Harris, MinEigen, and MSER, the proposed hybrid detecto...

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מידע ביבליוגרפי

Principais autores:	Anchal Kumawat, Sucheta Panda, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya, Stella Manika
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-09-01
סדרה:	Journal of Imaging
נושאים:	image registration feature detection hybrid feature detector rotation invariance scale invariance binary robust invariant scalable keypoints (BRISK)
גישה מקוונת:	https://www.mdpi.com/2313-433X/10/9/228
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