Learned feature matchers, especially SuperPoint plus LightGlue, outperform handcrafted SIFT, ORB, and AKAZE when matching mobile mapping images to textured CityGML LoD2 building models for absolute pose estimation.
Analyzing the Impact of Semantic LoD3 Building Models on Image-based Vehicle Localization
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To Glue or Not to Glue? Classical vs Learned Image Matching for Mobile Mapping Cameras to Textured Semantic 3D Building Models
Learned feature matchers, especially SuperPoint plus LightGlue, outperform handcrafted SIFT, ORB, and AKAZE when matching mobile mapping images to textured CityGML LoD2 building models for absolute pose estimation.