Correspondence Reweighted Translation Averaging

Manam, L and Govindu, VM (2022) Correspondence Reweighted Translation Averaging. In: 17th European Conference on Computer Vision, ECCV 2022, 23 - 27 October 2022, Tel Aviv, pp. 56-72.

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Abstract

Translation averaging methods use the consistency of input translation directions to solve for camera translations. However, translation directions obtained using epipolar geometry are error-prone. This paper argues that the improved accuracy of translation averaging should be leveraged to mitigate the errors in the input translation direction estimates. To this end, we introduce weights for individual correspondences which are iteratively refined to yield improved translation directions. In turn, these refined translation directions are averaged to obtain camera translations. This results in an alternating approach to translation averaging. The modularity of our framework allows us to use existing translation averaging methods and improve their results. The efficacy of the scheme is demonstrated by comparing performance with state-of-the-art methods on a number of real-world datasets. We also show that our approach yields reasonably good 3D reconstructions with straightforward triangulation, i.e. without any bundle adjustment iterations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Item Type:	Conference Paper
Publication:	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher:	Springer Science and Business Media Deutschland GmbH
Additional Information:	The copyright for this article belongs to Springer Science and Business Media Deutschland GmbH.
Keywords:	Computer vision; Iterative methods, Averaging method; Camera translation; Epipolar geometry; Error prones; Performance; Re-weighting; Reweighting correspondence; State-of-the-art methods; Structure from motion; Translation averaging, Cameras
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	09 Jan 2023 08:57
Last Modified:	09 Jan 2023 08:57
URI:	https://eprints.iisc.ac.in/id/eprint/78926

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