| 基于支持向量机与细节层次的三维地形识别与检索 |
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| 引用本文： | 肖俊,吴飞,庄越挺,张引. 基于支持向量机与细节层次的三维地形识别与检索[J]. 计算机辅助设计与图形学学报, 2003, 15(4): 410-415 |
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| 作者姓名： | 肖俊 吴飞 庄越挺 张引 |
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| 作者单位： | 浙江大学人工智能研究所,杭州,310027 |
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| 基金项目： | 国家自然科学基金 ( 6 0 2 72 0 31)，教育部博士点科研基金 ( 2 0 0 10 335 0 49)，浙江省自然科学基金重点项目 (ZD0 2 12 )，浙江省自然科学基金 ( 6 0 1110 )资助 |
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| 摘 要： | 提出对相似3D物体识别与检索的算法．该算法首先使用细节层次模型对3D物体进行三角面片数量的约减，然后提取3D物体的特征．由于所提取的特征维数很大，因此独立成分分析被用来进行3D特征约减．基于约减后的特征，使用支持向量机进行识别与检索．将该算法用于3D丘陵与山地的地形识别中，取得了良好效果。
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| 关 键 词： | 支持向量机 3D物体识别 图像识别 图像检索 细节层次 三维地形识别 |
| 修稿时间： | 2002-01-24 |
3D Terrain Recognition and Retrieval Based on Support Vector Machine and Level of Detail |
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| Xiao Jun Wu Fei Zhuang Yueting Zhang Yin. 3D Terrain Recognition and Retrieval Based on Support Vector Machine and Level of Detail[J]. Journal of Computer-Aided Design & Computer Graphics, 2003, 15(4): 410-415 |
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| Authors: | Xiao Jun Wu Fei Zhuang Yueting Zhang Yin |
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| Abstract: | D features are first filtered by reducing the meshes of 3D object through level of detail. Since the dimension of extracted 3D features are very huge, the independent component analysis (ICA) is used to exaggerate the main and most obvious features, then the recognition of similar 3D objects is realized by support vector machine (SVM). The proposed algorithm works well when it is used to recognize and retrieve 3D terrain.etri |
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| Keywords: | level of detail support vector machine 3D retrieval and recognition feature reduction |
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