| 基于Floatboost算法的多视角目标识别 |
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| 引用本文： | 郭薇,耿伯英.基于Floatboost算法的多视角目标识别[J].海军工程大学学报,2008,20(6). |
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| 作者姓名： | 郭薇 耿伯英 |
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| 作者单位： | 海军工程大学,电子工程学院,武汉,430033 |
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| 基金项目： | 国家部委基金资助项目
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| 摘 要： | 采用独立分量分析(ICA)方法对目标图像进行特征提取,提出了基于Floatboost算法与三叉决策树相结合的多视角目标识别级联分类器的设计方法,并融入角度优先粗分类的设计思想.经过与其他分类方法的试验比较表明,基于Floatboost算法的多视角分类器在一定程度上解决了目标旋转等问题,可满足某些实时系统的需求.
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| 关 键 词： | 多视角 目标识别 独立分量分析 |
Multi-view target recognition based on Floatboost |
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| GUO Wei,GENG Bo-ying.Multi-view target recognition based on Floatboost[J].Journal of Naval University of Engineering,2008,20(6). |
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| Authors: | GUO Wei GENG Bo-ying |
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| Institution: | College of Electronic Engineering;Naval Univ.of Engineering;Wuhan 430033;China |
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| Abstract: | A new method for node multi-view series classifiers was proposed based on Floatboost by independent component analysis(ICA) used for image feature extracting,combining with tri-node decision trees and the preliminary rough angle classifier.The comparision was made between the presented method and others.The result shows that the method of multi-view target recognition based on Floatboost for resolving the multi-view problem can satisfy the requirement of the real time system. |
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| Keywords: | Floatboost |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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