Point match refinement through rigidity constraint and vote

Yonghuai Liu*, Yitian Zhao, Longzhuang Li, Jiwan Han

*Awdur cyfatebol y gwaith hwn

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid


Feature extraction and matching has been widely used for the registration of overlapping partial shapes. However, the established tentative point matches (TPMs) usually include a large proportion of false ones due to a number of factors: imaging noise, occlusion, repetitive structures, and cluttered background. To apply the rigidity constraint to refine these TPMs in three main steps is proposed. First, a set of one-to-many point matches is established, then use them to vote against each other, and finally select such TPMs with the same surface type, the minimum error, and the most votes signifi- cantly more than the second most ones as the more reliable ones. A comparative study using real data captured by a Microsoft Kinect sensor shows that the refinement is successful.

Iaith wreiddiolSaesneg
Tudalennau (o-i)1304-1306
Nifer y tudalennau3
CyfnodolynElectronics Letters
Rhif cyhoeddi15
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 21 Gorff 2016

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