Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10714
Title: Multi-view structure-from-motion for hybrid camera scenarios
Authors: Baştanlar, Yalın
Temizel, Alptekin
Yardımcı, Y.
Sturm, P.
Baştanlar, Yalın
Izmir Institute of Technology. Computer Engineering
Keywords: Omnidirectional cameras
Hybrid camera systems
Feature matching
Epipolar geometry
Multi-view
Structure-from-motion
Issue Date: 2012
Publisher: Elsevier Ltd.
Abstract: We describe a pipeline for structure-from-motion (SfM) with mixed camera types, namely omnidirectional and perspective cameras. For the steps of this pipeline, we propose new approaches or adapt the existing perspective camera methods to make the pipeline effective and automatic. We model our cameras of different types with the sphere camera model. To match feature points, we describe a preprocessing algorithm which significantly increases scale invariant feature transform (SIFT) matching performance for hybrid image pairs. With this approach, automatic point matching between omnidirectional and perspective images is achieved. We robustly estimate the hybrid fundamental matrix with the obtained point correspondences. We introduce the normalization matrices for lifted coordinates so that normalization and denormalization can be performed linearly for omnidirectional images. We evaluate the alternatives of estimating camera poses in hybrid pairs. A weighting strategy is proposed for iterative linear triangulation which improves the structure estimation accuracy. Following the addition of multiple perspective and omnidirectional images to the structure, we perform sparse bundle adjustment on the estimated structure by adapting it to use the sphere camera model. Demonstrations of the end-to-end multi-view SfM pipeline with the real images of mixed camera types are presented. (C) 2012 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.imavis.2012.06.001
https://hdl.handle.net/10714
ISSN: 0262-8856
1872-8138
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

14
checked on Sep 18, 2021

WEB OF SCIENCETM
Citations

12
checked on Sep 18, 2021

Page view(s)

52
checked on Sep 21, 2021

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.