June 17, 2024Open Access

Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization

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Authors

HZHaipeng ZhouUniversity of California, Los Angeles BWBing WangHarbin University of Science and Technology CCChanghao ChenNational University of Defense Technology

Discussion

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Implication

Algorithmic evaluation demonstrates superior efficiency and accurate pose estimation across large-scale datasets, indicating scalable visual localization for implicit representations.

Key Points

MatLoc-NeRF improves visual localization efficiency by selecting informative NeRF features to match query images directly, eliminating redundant descriptors and speeding up inference.
Pose-aware scene partitioning ensures that only the relevant NeRF sub-block generates features, while scene segmentation and place prediction offer fast initial coarse pose estimation.
Evaluations on public large-scale datasets show enhanced pose estimation accuracy, supporting scalable visual localization frameworks across expansive real-world 3D environments.

Cite This Study

Zhou et al. (2024) studied this question.

synapsesocial.com/papers/68e64779b6db6435875d9180 https://doi.org/10.48550/arxiv.2406.11766

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June 17, 2024Open Access

Matching Query Image Against Selected NeRF Feature for Efficient and Scalable Localization

View Full Paper

Ask AI

Bookmark

Authors

HZHaipeng ZhouUniversity of California, Los Angeles BWBing WangHarbin University of Science and Technology CCChanghao ChenNational University of Defense Technology

Discussion

Member takes

Implication

Algorithmic evaluation demonstrates superior efficiency and accurate pose estimation across large-scale datasets, indicating scalable visual localization for implicit representations.

Key Points

MatLoc-NeRF improves visual localization efficiency by selecting informative NeRF features to match query images directly, eliminating redundant descriptors and speeding up inference.
Pose-aware scene partitioning ensures that only the relevant NeRF sub-block generates features, while scene segmentation and place prediction offer fast initial coarse pose estimation.
Evaluations on public large-scale datasets show enhanced pose estimation accuracy, supporting scalable visual localization frameworks across expansive real-world 3D environments.

Cite This Study

Zhou et al. (2024) studied this question.

synapsesocial.com/papers/68e64779b6db6435875d9180 https://doi.org/10.48550/arxiv.2406.11766

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