In Search of Inliers: 3D Correspondence by Local and Global Voting

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelIEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Antal sider8
ForlagIEEE
Publikationsdato2014
Sider2075-2082
DOI
StatusUdgivet - 2014
BegivenhedIEEE Conference on Computer Vision and Pattern Recognition - Columbus, OH, USA
Varighed: 23. jun. 201428. jun. 2014

Konference

KonferenceIEEE Conference on Computer Vision and Pattern Recognition
LandUSA
ByColumbus, OH
Periode23/06/201428/06/2014
NavnI E E E Conference on Computer Vision and Pattern Recognition. Proceedings
ISSN1063-6919

Citer dette

Buch, A. G., Yang, Y., Krüger, N., & Petersen, H. G. (2014). In Search of Inliers: 3D Correspondence by Local and Global Voting. I IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (s. 2075-2082). IEEE. I E E E Conference on Computer Vision and Pattern Recognition. Proceedings https://doi.org/10.1109/CVPR.2014.266
Buch, Anders Glent ; Yang, Yang ; Krüger, Norbert ; Petersen, Henrik Gordon. / In Search of Inliers : 3D Correspondence by Local and Global Voting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2014. s. 2075-2082 (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).
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title = "In Search of Inliers: 3D Correspondence by Local and Global Voting",
abstract = "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.",
author = "Buch, {Anders Glent} and Yang Yang and Norbert Kr{\"u}ger and Petersen, {Henrik Gordon}",
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Buch, AG, Yang, Y, Krüger, N & Petersen, HG 2014, In Search of Inliers: 3D Correspondence by Local and Global Voting. i IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, I E E E Conference on Computer Vision and Pattern Recognition. Proceedings, s. 2075-2082, IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 23/06/2014. https://doi.org/10.1109/CVPR.2014.266

In Search of Inliers : 3D Correspondence by Local and Global Voting. / Buch, Anders Glent; Yang, Yang; Krüger, Norbert; Petersen, Henrik Gordon.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2014. s. 2075-2082 (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AB - 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.

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Buch AG, Yang Y, Krüger N, Petersen HG. In Search of Inliers: 3D Correspondence by Local and Global Voting. I IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. 2014. s. 2075-2082. (I E E E Conference on Computer Vision and Pattern Recognition. Proceedings). https://doi.org/10.1109/CVPR.2014.266