计算机应用 ›› 2013, Vol. 33 ›› Issue (11): 3172-3175.

• 多媒体处理技术 • 上一篇    下一篇

基于特征点检测的三维模型最佳视点选择

朱 帆,杨风雷   

  1. 上海大学 计算机工程与科学学院,上海 200072
  • 收稿日期:2013-05-20 修回日期:2013-07-22 出版日期:2013-11-01 发布日期:2013-12-04
  • 通讯作者: 朱 帆
  • 作者简介:朱帆(1989-),女,安徽安庆人,硕士研究生,主要研究方向:计算机视觉;杨风雷(1976-),男,安徽宿州人,讲师,博士,主要研究方向:计算机视觉、机器学习、人工智能。

Best viewpoints selection based on feature points detection

ZHU Fan,YANG Fenglei   

  1. School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China
  • Received:2013-05-20 Revised:2013-07-22 Online:2013-12-04 Published:2013-11-01
  • Contact: ZHU Fan

摘要: 针对三维模型最佳视点选择问题,提出了一种基表面特征点检测的视点选择算法。首先引入一种基于局部平均形心距离差的顶点显著性度量方法,认为三维网格模型表面某顶点的显著性是由该顶点与形心之间距离和该顶点邻域内的顶点与形心之间距离的平均差值来刻画,而不是该点所在位置的弯曲程度所决定;然后根据顶点的显著性大小进行三维模型表面特征点检测;最后针对视点球体上的每个候选视点分析该视点下可见特征点的几何分布和显著度大小计算视点质量,提取出最佳视点。实验结果验证了基于三维模型特征点的视点选择方法的有效性,在能够选择出质量较优的视点的同时保证算法的效率。

关键词: 三维模型, 顶点显著度, 特征点检测, 视点质量, 最佳视点

Abstract: This paper proposed a new best viewpoints selection approach that was capable of selecting best viewpoints for 3D models based on a feature points detection process. First, a new saliency measure was defined to compute the saliency of 3D meshes vertices, which assumed that the saliency of a given vertex on a 3D model could be described by its average difference of distances within a local space. Then, the effective feature points were promisingly able to be extracted based on vertices saliency. Finally, a simple selection strategy was adopted to determine the best viewpoints for 3D mesh models. The quality of viewpoints was a combination of the geometirc distribution and the saliency of visible feature points. The experimental results validate the effectiveness of the proposed approach, which can measure viewpoint quality objectively and obtain the best viewpoints of good visual effect.

Key words: 3D model, vertex saliency, feature points detection, viewpoint quality, best view point

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