基于小波变换的三维模型提取技术的毕业论文,包括代码和答辩ppt.1．实现了三维模型的表示和规范化预处理过程，在此基础上，开发了进行检索实验的可视化特征提取实验平台。
2．结合球面调和变换获取旋转不变量具有降低特征向量维数的特性，实现了基于光线投射的特征提取方法，通过检索评价实验确定了参数的最佳取值。
3．分析了基本的光线投射方法和改进的光线投射方法的缺陷，提出了一种基于三维小波变换的特征描述方法。对光线投射算法进行了扩展，将切比雪夫采样点序列进行离散小波变换，然后利用球面调和变换获得旋转不变的特征向量。
4．将小波变换引入到体素表示的三维模型中，分别实现了表面体素小波变换和实体体素小波变换的特征提取，通过实验比较分析实体体素小波变换优于表面体素小波变换。
,Wavelet-Based Extraction of three-dimensional model of thesis, including the reply code and ppt.1. Three-dimensional model of the implementation and standardization of the express pre-treatment process, on this basis, developed a visual search experiment of feature extraction experiment platform.
2. Combination of spherical harmonic transform to obtain rotation invariant feature vector with reduced dimension of the characteristics of ray-casting based on the implementation of feature extraction methods, the evaluation by searching the parameters of the experiment to determine the best value.
3. Analysis of the basic ray casting method and the ray casting method to improve the shortcomings, a wavelet transform based on the three-dimensional characterization of the Ways. Ray-casting algorithm for the expansion of the sampling points Chebyshev sequences discrete wavelet transform, then the use of spherical harmonic transform to obtain rotation invariant feature vector.
4. Wavelet tr