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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

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

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.

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research:lsdslam [2015/03/12 08:43]
engelj
research:lsdslam [2015/05/19 23:21]
Prof. Dr. Jörg Stückler
Line 2: Line 2:
  
 ====== LSD-SLAM: Large-Scale Direct Monocular SLAM ====== ====== LSD-SLAM: Large-Scale Direct Monocular SLAM ======
-**Contact:** [[members:engelj]], [[schoepst@in.tum.de|Thomas Schöps]], [[members:cremers]]+**Contact:** [[members:engelj]], [[members:stueckle]], [[members:cremers]]
  
 **LSD-SLAM** is a novel, direct monocular SLAM technique: Instead of using keypoints, it directly operates on image intensities both for tracking and mapping. The camera is tracked using **direct image alignment**, while geometry is estimated in the form of **semi-dense depth maps**, obtained by **filtering** over many pixelwise stereo comparisons. We then build a **Sim(3) pose-graph of keyframes**, which allows to build scale-drift corrected, large-scale maps including loop-closures. **LSD-SLAM** is a novel, direct monocular SLAM technique: Instead of using keypoints, it directly operates on image intensities both for tracking and mapping. The camera is tracked using **direct image alignment**, while geometry is estimated in the form of **semi-dense depth maps**, obtained by **filtering** over many pixelwise stereo comparisons. We then build a **Sim(3) pose-graph of keyframes**, which allows to build scale-drift corrected, large-scale maps including loop-closures.

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Informatik IX
Computer Vision Group

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

Follow us on:

YouTube X / Twitter Facebook

News

03.07.2024

We have seven papers accepted to ECCV 2024. Check our publication page for more details.

09.06.2024
GCPR / VMV 2024

GCPR / VMV 2024

We are organizing GCPR / VMV 2024 this fall.

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.

More