Binary Feature Matching Approach Based on Sequential Sampling Evaluation

Aiming at the problem of computating resources waste in sampling process for the classical feature matching algorithm,this paper proposes a new binary feature matching approach.Local features use strong corners as the keypoints and rotation-invariant binary string as the feature descriptor.Sequentia...

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Detalles Bibliográficos

Autor principal:	HE Li,ZHOU Chuanwei,ZHANG Kun,SHI Chaoxia
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Editorial Office of Computer Engineering 2017-08-01
Colección:	Jisuanji gongcheng
Materias:	feature matching|hamming distance|sequential sampling evaluation|least squares method|prosac algorithm
Acceso en línea:	https://www.ecice06.com/fileup/1000-3428/PDF/201708054.pdf
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