In search of inliers: 3d correspondence by local and global voting

We present a method for finding correspondence between 3D models. From an initial set of feature correspondences, our method uses a fast voting scheme to separate the inliers from the outliers. The novelty of our method lies in the use of a combination of local and global constraints to determine if...

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Bibliographic Details
Published in:	arXiv.org
Main Authors:	Buch, Anders Glent, Yang, Yang, Krüger, Norbert, Henrik Gordon Petersen
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 23.08.2017
Subjects:	Algorithms Inliers (landforms) Object recognition Outliers (statistics) Three dimensional models Voters Voting
ISSN:	2331-8422
Online Access:	Get full text
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Summary:	We present a method for finding correspondence between 3D models. From an initial set of feature correspondences, our method uses a fast voting scheme to separate the inliers from the outliers. The novelty of our method lies in the use of a combination of local and global constraints to determine if a vote should be cast. On a local scale, we use simple, low-level geometric invariants. On a global scale, we apply covariant constraints for finding compatible correspondences. We guide the sampling for collecting voters by downward dependencies on previous voting stages. All of this together results in an accurate matching procedure. We evaluate our algorithm by controlled and comparative testing on different datasets, giving superior performance compared to state of the art methods. In a final experiment, we apply our method for 3D object detection, showing potential use of our method within higher-level vision.
Bibliography:	SourceType-Working Papers-1 ObjectType-Working Paper/Pre-Print-1 content type line 50
ISSN:	2331-8422
DOI:	10.48550/arxiv.1708.06966