maverick
发表于 2025-3-30 11:57:50
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Fibrin
发表于 2025-3-30 13:57:03
Adaptive Rendering for Large-Scale Skyline Characterization and Matchings and images. Given an image, our system automatically extracts the skyline and then matches it to a database of reference skylines generated from rendered images using digital elevation data (DEM). The sampling density of these rendering locations determines both the accuracy and the speed of skyli
血友病
发表于 2025-3-30 17:15:00
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Hla461
发表于 2025-3-30 21:47:00
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溺爱
发表于 2025-3-31 04:17:47
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宫殿般
发表于 2025-3-31 05:26:25
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门窗的侧柱
发表于 2025-3-31 11:43:13
Worldwide Pose Estimation Using 3D Point Clouds and bidirectional matching of image features with 3D points. We evaluate our method on several large datasets, and show state-of-the-art results on landmark recognition as well as the ability to locate cameras to within meters, requiring only seconds per query.
Perigee
发表于 2025-3-31 13:53:36
Adaptive Rendering for Large-Scale Skyline Characterization and Matchingne matching. The proposed approach successfully combines global planning and local greedy search strategies to select new rendering locations incrementally. We report quantitative and qualitative results from synthesized and real experiments, where we achieve a computational speedup of around 4X.
Motilin
发表于 2025-3-31 20:43:40
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大暴雨
发表于 2025-4-1 00:40:37
Semantically Guided Geo-location and Modeling in Urban Environmentsene layouts in the reference dataset. We will demonstrate the effectiveness of these semantic representations on examples of localization, semantic concept discovery, and intersection recognition in the images of urban scenes.