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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

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data:datasets:visual-inertial-dataset [2018/09/21 13:17]
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data:datasets:visual-inertial-dataset [2018/10/29 19:59]
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 == Photometric calibration == == Photometric calibration ==
-{{:data:datasets:vi-dataset:vignettesmoothed.png?300|}} +{{:data:datasets:visual-inertial-dataset:vingette_0.png?300|}} 
-{{:data:datasets:vi-dataset:vignettesmoothed.png?300|}} +{{:data:datasets:visual-inertial-dataset:vingette_1.png?300|}}
  
 All images in the dataset have 16-bit intensity depth and linear response function. Vignetting calibration using the method from [[:data:datasets:mono-dataset | TUM Monocular dataset]] is provided {{ :data:datasets:vi-dataset:vignettecalibresult4.zip | here}}. Vignette (for both resolutions) and photometric response calibration files (which is linear) in the format that DSO expects can be downloaded {{ :data:datasets:visual-inertial-dataset:photometric_calibration.tgz |here}}. We also include vignette calibration datasets (calib-vignette). This makes it possible to repeat the calibration procedure or use alternative tools for vignetting estimation. All images in the dataset have 16-bit intensity depth and linear response function. Vignetting calibration using the method from [[:data:datasets:mono-dataset | TUM Monocular dataset]] is provided {{ :data:datasets:vi-dataset:vignettecalibresult4.zip | here}}. Vignette (for both resolutions) and photometric response calibration files (which is linear) in the format that DSO expects can be downloaded {{ :data:datasets:visual-inertial-dataset:photometric_calibration.tgz |here}}. We also include vignette calibration datasets (calib-vignette). This makes it possible to repeat the calibration procedure or use alternative tools for vignetting estimation.

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Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:

News

04.03.2024

We have twelve papers accepted to CVPR 2024. Check our publication page for more details.

18.07.2023

We have four papers accepted to ICCV 2023. Check out our publication page for more details.

02.03.2023

CVPR 2023

We have six papers accepted to CVPR 2023. Check out our publication page for more details.

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022. Check out our publication page for more details.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023. Check out our publication page for more details.

More