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Robotics research explores point cloud registration formulations

By PulseAugur Editorial · [1 sources] ·

This paper delves into the theoretical relationship between maximum clique and maximum consensus formulations used in point cloud registration for robotics. Researchers demonstrate that maximum clique can exhibit significant alignment errors and be substantially larger than the maximum consensus set, even with a fixed tolerance. The study also derives specific error bounds and characterizations for the translation subproblem when rotation is fixed, and establishes minimum group sizes for alignment error bounds independent of scale and geometry. AI

RANK_REASON Academic paper on theoretical formulations in robotics. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Robotics research explores point cloud registration formulations

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Academic paper on theoretical formulations in robotics. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 Français(FR) · Abolfazl Babanazari, Kaveh Fathian ·

    On Maximum Clique and Maximum Consensus Formulations in Point Cloud Registration

    arXiv:2610.27275v1 Announce Type: cross Abstract: Maximum clique and maximum consensus are widely used formulations for robust point cloud registration in robotics. Maximum consensus seeks one transformation that aligns as many matches as possible, while maximum clique selects ma…

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