期刊文献+

基于特征图像的三维模型检索

Based on Three-dimensional Model Retrieval Feature Image
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摘要 现今三维模型在产品设计、工业生产、生活娱乐等各种领域中被广泛采用,大量构建与使用三维模型成为趋势,这就使得模型搜索变得越来越有必要.通常搜索到的模型与实际需要有很大差距.使用球面采样,对采样得出来的二维特征图像进行离散傅里叶变换、离散小波变换处理之后,利用SSIM相似性对比得出最后的相似度量值.结果表现出了对不同三维模型的搜索效果不一的情况,在模型的样式较为简单、或者同种模型样式统一且比较特别时,效果较好;在同种模型样式很分散、或者模型上凹面及阻挡较多的情况下,搜索得出的结果就会比较混杂. Nowadays,3D models are widely used in various fields such as entertainment,design,industrial production.A large number of construction and use of 3D model become a trend,which makes the 3D model retrieval becoming more necessary.People often found the model which is different to the one they want.Useing the spherical sampling method,we compute the discrete Fourier transform and discrete wavelet transform of these 2D characteristics images according to all sampling points,use SSIM similarity function to calculate the similarity degree.The results showed the different result when retrieving 3D models.If the model's shape is simple or characteristic,we will have better result.If the same category of models have dispersed shape,or more concave face and blocking parts in this category of models,the search results will worse than other retrieving.
作者 张洁 方厚加
出处 《德州学院学报》 2015年第6期60-65,69,共7页 Journal of Dezhou University
关键词 三维模型 检索 图像比对 球面 3D model retrieval image alignment sphere
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参考文献18

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