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TUM School of Computation, Information and Technology
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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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:intrinsic3d [2017/11/28 16:14]
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data:datasets:intrinsic3d [2019/02/28 10:17]
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 ===== Intrinsic3D Dataset ===== ===== Intrinsic3D Dataset =====
  
-The following dataset contains RGB-D sequences of five different scenes. We captured the RGB-D data using a Structure.io depth sensor (640x480px) and an iPad color camera (1280x1024px). Please refer to the [[https://vision.in.tum.de/_media/spezial/bib/maier2017intrinsic3d.pdf|respective publication]] when using this data.+The following dataset contains RGB-D sequences and reconstructed 3D models of five different scenes. We captured the RGB-D data using a Structure.io depth sensor (640x480px) and an iPad color camera (1280x1024px). Please refer to the [[https://vision.in.tum.de/_media/spezial/bib/maier2017intrinsic3d.pdf|respective publication]] when using this data.
  
 ==== Format ==== ==== Format ====
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   * Depth frames (frame-XXXXXX.depth.png): depth (mm), 16-bit, PNG (invalid depth is set to 0)   * Depth frames (frame-XXXXXX.depth.png): depth (mm), 16-bit, PNG (invalid depth is set to 0)
   * Camera poses (frame-XXXXXX.pose.txt): camera-to-world pose computed by [[https://github.com/niessner/VoxelHashing|VoxelHashing]]   * Camera poses (frame-XXXXXX.pose.txt): camera-to-world pose computed by [[https://github.com/niessner/VoxelHashing|VoxelHashing]]
-  * Camera calibration (colorIntrinsics.txt and depthIntrinsics.txt): the color and depth camera intrinsics (default factory calibration). +  * Camera calibration (colorIntrinsics.txt and depthIntrinsics.txt): color and depth camera intrinsics (default factory calibration). 
  
-For reference, the RGB-D data is provided in the same format as specified [[http://graphics.stanford.edu/projects/vsfs/|here]].+For reference, the RGB-D data is provided in the same format as specified [[http://graphics.stanford.edu/projects/vsfs/|here]]. The [[https://github.com/NVlabs/intrinsic3d|Intrinsic3D source code on github]] can directly read and process sequences in this format.
  
 ==== Lion ==== ==== Lion ====

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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