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Minimal solutions for panoramic stitching given gravity prior

Ding, Yaqing LU ; Barath, Daniel and Kukelova, Zuzana (2021) 18th IEEE/CVF International Conference on Computer Vision, ICCV 2021
Abstract
When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, e.g. smartphones and tablets, are equipped with an IMU (Inertial Measurement Unit) that can measure the gravity vector accurately. Using this prior, the y-axes of the cameras can be aligned or assumed to be already aligned, reducing the relative orientation to 1-DOF (degree of freedom). Exploiting this assumption, we propose new minimal solutions to panoramic stitching of images taken by cameras with coinciding optical centers, i.e. undergoing pure rotation. We consider six practical camera configurations, from fully calibrated ones up to a camera with unknown fixed or varying focal length and with... (More)
When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, e.g. smartphones and tablets, are equipped with an IMU (Inertial Measurement Unit) that can measure the gravity vector accurately. Using this prior, the y-axes of the cameras can be aligned or assumed to be already aligned, reducing the relative orientation to 1-DOF (degree of freedom). Exploiting this assumption, we propose new minimal solutions to panoramic stitching of images taken by cameras with coinciding optical centers, i.e. undergoing pure rotation. We consider six practical camera configurations, from fully calibrated ones up to a camera with unknown fixed or varying focal length and with or without radial distortion. The solvers are tested both on synthetic scenes, on more than 500k real image pairs from the Sun360 dataset, and from scenes captured by us using two smartphones equipped with IMUs. The new solvers have similar or better accuracy than the state-of-the-art ones and outperform them in terms of processing time. (Less)
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author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
IEEE/CVF International Conference on Computer Vision (ICCV)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
18th IEEE/CVF International Conference on Computer Vision, ICCV 2021
conference location
Virtual, Online, Canada
conference dates
2021-10-11 - 2021-10-17
external identifiers
  • scopus:85127758921
ISBN
978-1-6654-2812-5
978-1-6654-2813-2
DOI
10.1109/ICCV48922.2021.00553
language
English
LU publication?
no
id
bd99aec6-12bd-472e-814f-b06df04f4bf6
date added to LUP
2022-09-07 17:49:45
date last changed
2024-07-09 08:22:19
@inproceedings{bd99aec6-12bd-472e-814f-b06df04f4bf6,
  abstract     = {{When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, e.g. smartphones and tablets, are equipped with an IMU (Inertial Measurement Unit) that can measure the gravity vector accurately. Using this prior, the y-axes of the cameras can be aligned or assumed to be already aligned, reducing the relative orientation to 1-DOF (degree of freedom). Exploiting this assumption, we propose new minimal solutions to panoramic stitching of images taken by cameras with coinciding optical centers, i.e. undergoing pure rotation. We consider six practical camera configurations, from fully calibrated ones up to a camera with unknown fixed or varying focal length and with or without radial distortion. The solvers are tested both on synthetic scenes, on more than 500k real image pairs from the Sun360 dataset, and from scenes captured by us using two smartphones equipped with IMUs. The new solvers have similar or better accuracy than the state-of-the-art ones and outperform them in terms of processing time.}},
  author       = {{Ding, Yaqing and Barath, Daniel and Kukelova, Zuzana}},
  booktitle    = {{IEEE/CVF International Conference on Computer Vision (ICCV)}},
  isbn         = {{978-1-6654-2812-5}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Minimal solutions for panoramic stitching given gravity prior}},
  url          = {{http://dx.doi.org/10.1109/ICCV48922.2021.00553}},
  doi          = {{10.1109/ICCV48922.2021.00553}},
  year         = {{2021}},
}