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Found 5 papers, 5 papers with code
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results
Based on the MVP dataset, this paper reports methods and results in the Multi-View Partial Point Cloud Challenge 2021 on Completion and Registration.
Leveraging Inlier Correspondences Proportion for Point Cloud Registration
Motivated by this, we devise several techniques to promote feature-learning based point cloud registration performance by leveraging inlier correspondences proportion: a pyramid hierarchy decoder to characterize point features in multiple scales, a consistent voting strategy to maintain consistent correspondences and a geometry guided encoding module to take geometric characteristics into consideration.
Point Cloud Registration using Representative Overlapping Points
3D point cloud registration is a fundamental task in robotics and computer vision.
Deep Models with Fusion Strategies for MVP Point Cloud Registration
The main goal of point cloud registration in Multi-View Partial (MVP) Challenge 2021 is to estimate a rigid transformation to align a point cloud pair.
Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud Classification
Specifically, the proposed framework iteratively voxelize the point cloud and extract point-voxel feature with shared local encoding and Transformer.
