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cs.CV2026
Global Truncated Loss Minimization for Robust and Threshold-Resilient Geometric Estimation
Tianyu Huang, Liangzu Peng, Xinyue Zhang +5
To achieve outlier-robust geometric estimation, robust objective functions are generally employed to mitigate the influence of outliers. The widely used consensus maximization(CM)…
cs.CV2024
Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search
Tianyu Huang, Haoang Li, Liangzu Peng +2
Estimating the rigid transformation with 6 degrees of freedom based on a putative 3D correspondence set is a crucial procedure in point cloud registration. Existing correspondence…
cs.CV2024
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
Tianyu Huang, Liangzu Peng, René Vidal +1
Given an input set of D point pairs, the goal of outlier-robust D registration is to compute some rotation and translation that align as many point pairs as possible. This is…