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基于SVDD的三维目标多视点视图建模

丁昊 李旭东 赵慧洁

丁昊, 李旭东, 赵慧洁等 . 基于SVDD的三维目标多视点视图建模[J]. 北京航空航天大学学报, 2012, (11): 1517-1521.
引用本文: 丁昊, 李旭东, 赵慧洁等 . 基于SVDD的三维目标多视点视图建模[J]. 北京航空航天大学学报, 2012, (11): 1517-1521.
Ding Hao, Li Xudong, Zhao Huijieet al. Method of multi-view modeling for 3D target based on SVDD[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (11): 1517-1521. (in Chinese)
Citation: Ding Hao, Li Xudong, Zhao Huijieet al. Method of multi-view modeling for 3D target based on SVDD[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, (11): 1517-1521. (in Chinese)

基于SVDD的三维目标多视点视图建模

基金项目: 国家自然科学基金资助项目(60802044)
详细信息
  • 中图分类号: TP391

Method of multi-view modeling for 3D target based on SVDD

  • 摘要: 同一目标在不同观察视点下成像后外形可能有较大差异,因此三维目标多视点视图建模是目标识别的关键.针对该问题,提出了基于支持向量数据描述(SVDD, Support Vector Data Description)方法对目标特征进行描述.在视点球面上均匀采样获取目标全姿态图像,以SVDD方法求取在高维空间内包含尽可能多目标特征向量的最小超球体相关参数,得到数量较少的支持向量将作为目标多视点视图的最佳模型.对多类目标不同姿态的图像(每类2592帧),以规则化不变矩描述目标外形特征,进行了建模实验,并通过识别实验验证了所提方法的有效性和可行性.

     

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出版历程
  • 收稿日期:  2011-07-18
  • 刊出日期:  2012-11-30

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