Sparse 3D directional vertices vs continuous 3D curves: Efficient 3D surface matching and its application for single model face recognition

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• 作者：Xun Yu^aAuthor Vitae ; Yongsheng Gao^a ; ^{yongsheng.gao@griffith.edu.au}Author Vitae ; Jun Zhou^bAuthor Vitae
• 关键词：3D surface matching ; 3D directional vertex ; Fast 3D matching ; Storage space ; 3D face recognition ; 3D curve ; Hausdorff distance ; Iterative closest points
• 刊名：Pattern Recognition
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：65
• 期：Complete
• 页码：296-306
• 全文大小：1513 K
• 卷排序：65

文摘

A 3D directional vertices (3D2V) approach is proposed to efficiently represent and match 3D surfaces. It can significantly reduce the data storage requirement and computation time of 3D matching algorithms. A moderate increase of recognition accuracy is also observed. It provides a new tool that can be used for developing fast 3D surface matching algorithms for large scale 3D data classification and retrieval.