Scale-Adaptive ICP

SAHİLLİOĞLU Y., Kavan L.

Graphical Models, cilt.116, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 116
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.gmod.2021.101113
  • Dergi Adı: Graphical Models
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, Geobase, INSPEC, zbMATH
  • Anahtar Kelimeler: Pairwise registration, Shape registration, Shape alignment, Scale-adaptive, 3D POINT CLOUDS, REGISTRATION, ROBUST, ALGORITHM
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

© 2021 Elsevier Inc.We present a new scale-adaptive ICP (Iterative Closest Point) method which aligns two objects that differ by rigid transformations (translations and rotations) and uniform scaling. The motivation is that input data may come in different scales (measurement units) which may not be known a priori, or when two range scans of the same object are obtained by different scanners. Classical ICP and its many variants do not handle this scale difference problem adequately. Our novel solution outperforms three different methods that estimate scale prior to alignment and a fourth method that, similar to ours, jointly optimizes for scale during the alignment.