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Study on the Construction of 3-Dimensional Image by Support Vector Machine

机译:支持向量机建设三维图像的研究

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The construction of object 3-dimensional image is the thinking base of machine learning, it is important to machine recognize the outside world. The current algorithms of object 3- dimensional image construction are mainly based on the least squares method (LSM) in linear or nonlinear models, all of them existed some defects and deficiencies. The paper introduced the construction principle of 3-dimensional image by support vector machine, then the algorithm and step was put forward, as well as the key code in the Matlab7.4.
机译:物体3维图像的构建是机器学习的思维基础,对机器识别外界非常重要。 对象3维图像结构的当前算法主要基于线性或非线性模型中的最小二乘法(LSM),所有这些都存在一些缺陷和缺陷。 本文通过支持向量机引入了三维图像的构造原理,然后提出了算法和步骤,以及MATLAB7.4中的密钥代码。

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