ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Fast multiview 3D scan registration using planar structures

Bhattacharya, U and Veerawal, S and Govindu, VM (2018) Fast multiview 3D scan registration using planar structures. In: 7th IEEE International Conference on 3D Vision, 3DV 2017, 10 - 12 October 2017, Qingdao, pp. 548-556.

[img] PDF
IEEE_3DV 2017_548-556_2018.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: https://doi.org/10.1109/3DV.2017.00068


We present a fast and lightweight method for 3D registration of scenes by exploiting the presence of planar regions. Since planes can be easily and accurately represented by parametric models, we can both efficiently and accurately solve for the motion between pairs of 3D scans. Additionally, our method can also utilize the available non-planar regions if necessary to resolve motion ambiguities. The result is a fast and accurate method for 3D scan registration that can also be easily utilized in a multiview registration framework based on motion averaging. We present extensive results on datasets containing planar regions to demonstrate that our method yields results comparable in accuracy with the state-of-The-Art while only taking a fraction of computation time compared with conventional approaches that are based on motion estimates through 3D point correspondences.

Item Type: Conference Paper
Publication: Proceedings - 2017 International Conference on 3D Vision, 3DV 2017
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords: Conventional approach; Depth Map; Motion ambiguities; Motion-Averaging; Multi-view registration; Parametric models; Plane segmentation; Point correspondence, Motion estimation
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Division of Electrical Sciences > Electrical Engineering
Division of Physical & Mathematical Sciences > Physics
Date Deposited: 11 Aug 2022 10:15
Last Modified: 11 Aug 2022 10:15
URI: https://eprints.iisc.ac.in/id/eprint/75545

Actions (login required)

View Item View Item