Aligning 3D Polygonal Models with Improved PCA

PCA is a useful tool for pose normalization in 3D model retrieval, in this paper, we analyze its basic principle, point out its shortcoming and give our solution. Experiments show that our methods can enhance the robustness of PCA and align 3D models well.

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Bibliographische Detailangaben
Hauptverfasser:	Wei, Liu, Yuanjun, He
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	alignment Applied sciences Artificial intelligence Computer science control theory systems Computer systems and distributed systems. User interface Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry PCA pose normalization Software uniform sampling
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	PCA is a useful tool for pose normalization in 3D model retrieval, in this paper, we analyze its basic principle, point out its shortcoming and give our solution. Experiments show that our methods can enhance the robustness of PCA and align 3D models well.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/11890881_29