SHREC ’ 15 Track : Non-rigid 3 D Shape Retrieval †

SHREC ’ 15 Track : Non-rigid 3 D Shape Retrieval †
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DOI：
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发表时间：
2016
期刊：
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影响因子：
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通讯作者：
Z. Lian;J. Zhang;S. Choi;H. ElNaghy;J. El-Sana;T. Furuya;A. Giachetti;R. A. Guler;L. Lai;C. Li;H. Li;F. A. Limberger;R. Martin;R. U. Nakanishi;A. Neto;L. G. Nonato;R. Ohbuchi;K. Pevzner;D. Pickup;P. Rosin;A. Sharf;L. Sun;X. Sun;S. Tari;G. Unal;R. C. Wilson
Z. Lian;J. Zhang;S. Choi;H. ElNaghy;J. El-Sana;T. Furuya;A. Giachetti;R. A. Guler;L. Lai;C. Li;H. Li;F. A. Limberger;R. Martin;R. U. Nakanishi;A. Neto;L. G. Nonato;R. Ohbuchi;K. Pevzner;D. Pickup;P. Rosin;A. Sharf;L. Sun;X. Sun;S. Tari;G. Unal;R. C. Wilson
中科院分区：
其他
文献类型：
--
作者：
Z. Lian;J. Zhang;S. Choi;H. ElNaghy;J. El-Sana;T. Furuya;A. Giachetti;R. A. Guler;L. Lai;C. Li;H. Li;F. A. Limberger;R. Martin;R. U. Nakanishi;A. Neto;L. G. Nonato;R. Ohbuchi;K. Pevzner;D. Pickup;P. Rosin;A. Sharf;L. Sun;X. Sun;S. Tari;G. Unal;R. C. Wilson

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通过将特征描述符编码为全局形状签名，稀疏特征已成功地应用于形状检索。我们研究了基于显著性模型的稀疏特征对检索的影响，并提供了用于形状检索的良好显著性模型的建议。我们的研究结果表明，在表面上随机选择点比使用任何评估的显著关键点检测（包括地基真值）产生更好的检索性能。我们讨论了这一意外结果的原因和影响。
Sparse features have been successfully used in shape retrieval, by encoding feature descriptors into global shape signatures. We investigate how sparse features based on saliency models affect retrieval and provide recommendations on good saliency models for shape retrieval. Our results show that randomly selecting points on the surface produces better retrieval performance than using any of the evaluated salient keypoint detection, including ground-truth. We discuss the reasons for and implications of this unexpected result.