A Planted Clique Perspective on Hypothesis Pruning

Hypothesis pruning is an important prerequisite while working with outlier-contaminated data in many computer vision problems. However, the underlying random data structures are barely explored in the literature, limiting designing efficient algorithms. To this end, we provide a novel graph-theoreti...

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Veröffentlicht in:	IEEE robotics and automation letters 2022-04, Vol.7 (2), p.5167-5174
Hauptverfasser:	Lin, Muyuan, Murali, Varun, Karaman, Sertac
Format:	Artikel
Sprache:	eng
Schlagworte:	aerial systems: perception and autonomy Algorithms Approximation algorithms Computational modeling Computer vision Data structures Deep learning for visual perception Estimation Geometry Graph theory Heuristic algorithms Hypotheses Outliers (statistics) perception for grasping and manipulation Point cloud compression Training
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