“…This issue is significant in diverse application domains. Among these are aligning spacecraft (see, e.g., Wahba, 1965;Davenport, 1968;Markley, 1988;and Markley & Mortari, 2000), obtaining correspondence of registration points in 3D model matching (see, e.g., Faugeras & Hebert, 1983, 1986, matching structures in aerial imagery (see, e.g., Horn, 1987;Horn et al, 1988;Huang et al, 1986;Arun et al, 1987;Umeyama, 1991;and Zhang, 2000), and alignment of matched molecular and biochemical structures (see, e.g., Kabsch, 1976Kabsch, , 1978McLachlan, 1982;Lesk, 1986;Diamond, 1988;Kearsley, 1989Kearsley, , 1990Kneller, 1991;Coutsias et al, 2004;Theobald, 2005;Liu et al, 2010;and Coutsias & Wester, 2019). A closely related task is the alignment of multiple sets of 3D range data, for example in digital-heritage applications (Levoy et al, 2000); the widely used iterative closest point (ICP) algorithm [see, e.g., Chen & Medioni (1991), Besl & McKay (1992) and Bergevin et al (1996), as well as Rusinkiewicz & Levoy (2001) and Nü chter et al (2007)] explicitly incorporates standard alignment methods in individual steps with known correspondences.…”