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Scene Landmark Detection might soon improve Camera Localization

Microsoft might soon improve AR using camera localization features

2 min. read

Published onFebruary 23, 2024

published onFebruary 23, 2024

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Soon, Camera Localization might get some improvements based on Scene Landmark Detection, according toMicrosoft research.

So, we might see some new updates for AR, robotics, and navigation in general. In addition, unlike the older camera localization methods, the new one should be faster. Also, the new method should preserve your privacy and require a smaller storage.

How will the new Scene Landmark Detection method work?

How will the new Scene Landmark Detection method work?

The new method based on Scene Landmark Detection is to train a convolutional neural network (CNN) to establish the position and orientation of the camera. However, trainers need a SLD with a strong processor to face its limitations.

After all, the model they use needs to be fixed with accuracy and power. On top of that, it has noisy training labels. In addition, it requires more data about its environment to adapt to dynamic and unfamiliar settings.

To fix the limitations, researchers decided to use multiple networks and train each on a subgroup of landmarks. Additionally, researchers might also use scene-specific 3D points with pre-defined landmarks.

In addition, researchers are thinking of changing the architecture of their prototype based on Scene Landmark Detection. With it, they hope to improve its proficiency and memory efficiency. On top of that, researchers managed to reduce its storage needs. Also, they improved the model’s accuracy to match the 3D structure-based methods on the INDOOR-6 dataset.

In a nutshell, the method based on Scene Landmark Detection to improve the Camera Localization looks promising. In addition, the models might soon adapt to dynamic and unfamiliar environments. Soon, we might see a better version of this model in future AR technologies or devices meant to help people do their daily tasks. Also,Microsoft carscould use an updated version of the SLD model. However, the model is not well suited for real-time applications and needs some work to get there.

If you want to learn more about the research check thisGitHub article.

What are your thoughts? Do you think that the new method based on Scene Landmark Detection will improve the Camera localization? Let us know in the comments.

More about the topics:camera,microsoft

Sebastian Filipoiu

Sebastian is a content writer with a desire to learn everything new about AI and gaming. So, he spends his time writing prompts on various LLMs to understand them better. Additionally, Sebastian has experience fixing performance-related problems in video games and knows his way around Windows. Also, he is interested in anything related to quantum technology and becomes a research freak when he wants to learn more.

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Sebastian Filipoiu

Sebastian is a content writer with a desire to learn everything new about AI and gaming.