Name: Pushing the Boundaries of Structure-from-Motion with Machine Learning
Start: 2025-07-16T16:00:00+02:00
End: 2025-07-16T17:00:00+02:00

AI has conquered the internet by storm with LLMs like ChatGPT. The interaction of AI Agents with the real world by means of robotics or augmented reality is generally seen to be the next frontier. To do this, however, the AI Agent needs to be able to properly localize itself and the objects in its environment. These tasks are tackled by visual relocalisation and pose estimation, which allow the machine to visually perceive both its place in the world and its environment.

We are excited to welcome [Eric Brachmann](https://ebrach.github.io/), Senior Staff Scientist at [Niantic Spatial](https://www.nianticspatial.com/) and a well-established researcher in visual relocalisation and pose estimation, to our joint Heidelberg.ai / NCT Data Science Seminar series. In this online seminar, Eric Brachmann will talk about his current work on camera relocalization, where he merges machine learning with more traditional computer vision approaches. His work has been integrated into [Niantic's Visual Positioning System (VPS)](https://www.nianticspatial.com/products/visual-positioning-system) which powers game features in Ingress and Pokemon Go.

We look forward to your participation, as this seminar will equip us with the knowledge how AI will be able to perceive the world around it and interact with it in a meaningful way, which is crucial for the future of robotics and augmented reality.

Zoom Details
https://dkfz-de.zoom-x.de/j/4525206170

For more info, visit:
https://heidelberg.ai/2025/07/16/eric_brachmann.html

After the event, we will upload a video recording to our YouTube channel:
[https://www.youtube.com/channel/UCfHWBneOsb7SfOxJepnMQKA](https://www.youtube.com/channel/UCfHWBneOsb7SfOxJepnMQKA)

Jessica Kächele

Carsten L.

Benjamin Hamm

Santhosh Parampottupadam

Maximilian Rokuss

heidelberg.ai

Technology

Robotics

Artificial Intelligence

Artificial Intelligence Machine Learning Robotics

Artificial Intelligence Programming

Machine Learning

Artificial Intelligence Applications

Machine Intelligence

Deep Learning

Pushing the Boundaries of Structure-from-Motion with Machine Learning

Computer Vision

Online event

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Pushing the Boundaries of Structure-from-Motion with Machine Learning

heidelberg.ai

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