Researchers From Microsoft and ETH Zurich Introduce LightGlue

In the realm of computer vision, matching corresponding points between images plays a vital role in applications like camera tracking and 3D mapping. But these methods have limitations and that’s where a new deep network called LightGlue comes to play.

A result of a collaborative research effort between ETH Zurich and Microsoft, LightGlue leverages a deep network that combines image matching and outlier rejection. It incorporates the Transformer model, which learns to match challenging image pairs by leveraging vast …

3d mapping applications artificial intelligence collaborative computer computer vision data science eth eth zurich images limitations mapping microsoft network open source research researchers role tracking vision zurich