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|a 10.1109/TPAMI.2016.2545663
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|a eng
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|a Saurer, Olivier
|e verfasserin
|4 aut
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|a Homography Based Egomotion Estimation with a Common Direction
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|c 2017
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|a Date Completed 23.08.2018
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|a Date Revised 23.08.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images. These solutions depend on the prior knowledge about the reference plane used by the homography. We then demonstrate that the number of matched points can vary from two to three and that a direct closed-form solution or a Gröbner basis based solution can be derived according to this plane. Many experimental results on synthetic and real sequences in indoor and outdoor environments show the efficiency and the robustness of our approach compared to standard methods
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 700 |
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|a Vasseur, Pascal
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|a Boutteau, Remi
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| 700 |
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|a Demonceaux, Cedric
|e verfasserin
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| 700 |
1 |
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|a Pollefeys, Marc
|e verfasserin
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|a Fraundorfer, Friedrich
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
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|g 39(2017), 2 vom: 01. Feb., Seite 327-341
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