Fast and Robust Non-Rigid Registration Using Accelerated Majorization-Minimization

Non-rigid 3D registration, which deforms a source 3D shape in a non-rigid way to align with a target 3D shape, is a classical problem in computer vision. Such problems can be challenging because of imperfect data (noise, outliers and partial overlap) and high degrees of freedom. Existing methods typ...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 45; H. 8; S. 9681 - 9698
Hauptverfasser:	Yao, Yuxin, Deng, Bailin, Xu, Weiwei, Zhang, Juyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acceleration Algorithms Alignment Anderson acceleration Computer vision Convergence Deformable models Deformation Error analysis Iterative methods non-rigid registration Optimization Outliers (statistics) Registration Regularization robust estimator Robustness Shape Smoothness Software Solvers Source code Three-dimensional displays welsch's function
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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