Collaborative Mobile 3D Reconstruction of Urban Scenes

Tanács, Attila; Majdik, András; Hajder, Levente; Molnár, J.; Sánta, Zsolt; Kató, Zoltán

doi:10.1007/978-3-319-16634-6_36

Cited by 5 publications

(8 citation statements)

References 24 publications

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“…The final goal is to compute the textured 3D model of the object planes. The novel BA method is successfully applied on two test sequences of the database of the University of Szeged [33]. This database contains images and the intrinsic parameters of the cameras.…”

Section: D Reconstruction Of Real-world Objectsmentioning

confidence: 99%

Computer Vision Meets Geometric Modeling: Multi-view Reconstruction of Surface Points and Normals Using Affine Correspondences

Hajder

Eichhardt

2017

2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

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Section: D Reconstruction Of Real-world Objectsmentioning

confidence: 99%

Computer Vision Meets Geometric Modeling: Multi-view Reconstruction of Surface Points and Normals Using Affine Correspondences

Hajder

Eichhardt

2017

2017 IEEE International Conference on Computer Vision Workshops (ICCVW)

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“…Another approach is to use pixel intensities to estimate the plane-plane transformation between image patches (Habbecke and Kobbelt, 2006;Z. Megyesi and D.Chetverikov, 2006;Tanács et al, 2014). The study of (Habbecke and Kobbelt, 2006) proposes to estimate the four spatial plane parameters, while (Z.…”

Section: Theoretical Contributionmentioning

confidence: 99%

“…The study of (Habbecke and Kobbelt, 2006) proposes to estimate the four spatial plane parameters, while (Z. Megyesi and D.Chetverikov, 2006) and (Tanács et al, 2014) reduce the DoF of plane estimation problem to three using rectified images. Remark that rectification can be carried out if the fundamental matrix is known, the two projection matrices themselves does not have to be known.…”

Section: Theoretical Contributionmentioning

confidence: 99%

“…Typical example for such tasks is the reconstruction of urban scenes that is a challenging and long-researched problem (Musialski et al, 2012;Tanács et al, 2014). Nowadays, 3D reconstruction pipelines uses point correspondences to compute the sparse (Agarwal et al, 2011;Pollefeys et al, 2008) or dense (Furukawa and Ponce, 2010;Vu et al, 2012) reconstruction of the scenes.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, 3D reconstruction pipelines uses point correspondences to compute the sparse (Agarwal et al, 2011;Pollefeys et al, 2008) or dense (Furukawa and Ponce, 2010;Vu et al, 2012) reconstruction of the scenes. However, patch-based approaches has recently proposed (Bódis-Szomorú et al, 2014;Tanács et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Novel Ways to Estimate Homography from Local Affine Transformations

Baráth

Hajder

2016

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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Abstract:State-of-the-art 3D reconstruction methods usually apply point correspondences in order to compute the 3D geometry of objects represented by dense point clouds. However, objects with relatively large and flat surfaces can be most accurately reconstructed if the homographies between the corresponding patches are known. Here we show how the homography between patches on a stereo image pair can be estimated. We discuss that these proposed estimators are more accurate than the widely used point correspondence-based techniques because the latter ones only consider the last column (the translation) of the affine transformations, whereas the new algorithms use all the affine parameters. Moreover, we prove that affine-invariance is equivalent to perspectiveinvariance in the case of known epipolar geometry. Three homography estimators are proposed. The first one calculates the homography if at least two point correspondences and the related affine transformations are known. The second one computes the homography from only one point pair, if the epipolar geometry is estimated beforehand. These methods are solved by linearization of the original equations, and the refinements can be carried out by numerical optimization. Finally, a hybrid homography estimator is proposed that uses both point correspondences and photo-consistency between the patches. The presented methods have been quantitatively validated on synthesized tests. We also show that the proposed methods are applicable to realworld images as well, and they perform better than the state-of-the-art point correspondence-based techniques.

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Simultaneous Multi-view Relative Pose Estimation and 3D Reconstruction from Planar Regions

Fröhlich

Kató

2019

Computer Vision – ACCV 2018 Workshops

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Collaborative Mobile 3D Reconstruction of Urban Scenes

Cited by 5 publications

References 24 publications

Computer Vision Meets Geometric Modeling: Multi-view Reconstruction of Surface Points and Normals Using Affine Correspondences

Computer Vision Meets Geometric Modeling: Multi-view Reconstruction of Surface Points and Normals Using Affine Correspondences

Novel Ways to Estimate Homography from Local Affine Transformations

Simultaneous Multi-view Relative Pose Estimation and 3D Reconstruction from Planar Regions

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