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Found 6 papers, 0 papers with code
Incremental Rotation Averaging Revisited and More: A New Rotation Averaging Benchmark
In addition, to further address the limitations of the existing rotation averaging benchmark of relying on the slightly outdated Bundler camera calibration results as ground truths and focusing solely on rotation estimation accuracy, this paper presents a new COLMAP-based rotation averaging benchmark that incorporates a cross check between COLMAP and Bundler, and employ the accuracy of both rotation and downstream location estimation as evaluation metrics, which is desired to provide a more reliable and comprehensive evaluation tool for the rotation averaging research.
Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features
Visual localization plays an important role in many applications.
CSfM: Community-based Structure from Motion
The global manner has the advantage of simultaneously estimating all camera poses, but it is usually sensitive to epipolar geometry outliers.
HSfM: Hybrid Structure-from-Motion
In this work, we propose a new hybrid SfM method to tackle the issues of efficiency, accuracy and robustness in a unified framework.
InAR:Inverse Augmented Reality
Augmented reality is the art to seamlessly fuse virtual objects into real ones.
Fast and Accurate Image Matching with Cascade Hashing for 3D Reconstruction
Image matching is one of the most challenging stages in 3D reconstruction, which usually occupies half of computational cost and inaccurate matching may lead to failure of reconstruction.
