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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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research:semidense [2013/11/18 16:38]
engelj
research:semidense [2014/07/02 08:47]
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 +====== LSD-SLAM: Large-Scale Direct Monocular SLAM ======
 {{:research:semidense:semidenseexamples.png?500|}} {{:research:semidense:semidenseexamples.png?500|}}
  
 Contact: [[members:engelj|Jakob Engel]] Contact: [[members:engelj|Jakob Engel]]
  
-====== (Semi-)Dense SLAM for Monocular Cameras ====== 
 In the last years - in particular with the advent of commodity depth cameras - **dense methods** for camera tracking and 3d-reconstruction have quickly gained popularity. Instead of abstracting the images to a set of feature observations (such as corners, blobs or line-segments), they direcly operate on the raw images. This allows to exploit all information in the image and achieve high-accuracy tracking and reconstruction results in real-time. In the last years - in particular with the advent of commodity depth cameras - **dense methods** for camera tracking and 3d-reconstruction have quickly gained popularity. Instead of abstracting the images to a set of feature observations (such as corners, blobs or line-segments), they direcly operate on the raw images. This allows to exploit all information in the image and achieve high-accuracy tracking and reconstruction results in real-time.
  
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 In addition to highly accurate camera odometry, it provides accurate, semi-dense depth maps of the environment, which can be valuable e.g. for robot navigation. In addition to highly accurate camera odometry, it provides accurate, semi-dense depth maps of the environment, which can be valuable e.g. for robot navigation.
  
-<html><center><iframe width="640" height="480" src="//www.youtube.com/embed/LZChzEcLNzI" frameborder="0" allowfullscreen></iframe></center></html>+<html><center><iframe width="640" height="440" src="//www.youtube.com/embed/LZChzEcLNzI" frameborder="0" allowfullscreen></iframe></center></html>
  
 ====== Related publications ====== ====== Related publications ======

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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