• 基于约束结构类零件特征模型重建工程一个新的研究方向具有很强的理论意义和实用价值。

    The research on constraints based structural feature model reconstruction method is a new aspect in reversing engineering, which can be used to reconstruct more reliable model.

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  • 研究基于草图轮廓拉伸与旋转特征模型重建生成方法,以实例零件说明本文提出重建方法切实可行的。

    The generation methods of sketch-based feature model reconstruction are presented in this thesis. Experimental results show that the methods presented here are reliable.

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  • 方法以投影基础,以平分解为手段,通过多个投影平面内逐步确定平面、高程信息实现特征线提取模型重建

    This study proposed an algorithm for building model reconstruction from airborne laser scanning data, based on feature line detection and separation of planimetric and height computations.

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  • 基于特征模型重建

    Based on the characteristics of the model reconstruction.

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  • 基于几何特征参数提出了一种支持模型几何外形再设计重建模型表达建模方法。

    A novel scheme of reconstructed model representation and modeling for innovative styling is presented based on parameterization of geometric features.

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  • 本文以凉亭扫描对象,对扫描得到的数据进行模型重建利用半自动提取出特征线轮廓线,完成该建筑各图件的绘制

    This dissertation selected a pavilion, reconstructed its model with scanning data, and completed to draw the maps using the feature lines and contour obtained with semiautomatic extraction.

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  • 曲面重建就是根据曲面实物模型点云,重建几何拓扑信息,并再现特征过程

    Surface reconstruction is reproduction process of geometric topology information and feature bases on surface practicality model.

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  • 本文旨在以建立男性上体模型为目标来研究逆向工程中基于特征约束模型重建方法

    Aiming at constructing the model of the upper part of male body, the feature and constraint based re model reconstruction method is researched in this paper.

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  • 对梁家楼远油藏沉积特征进行了综合研究其沉积模型进行了重建

    The sedimentary features of infralittoral turbidite oil reservoir were studied, and the sedimentary models were reconstructed.

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  • 算法人脸特征提取图像复合相结合,无需3人脸模型重建自动合成具有源图像主要五官特征结果图像。

    This paper combines facial features extraction with image fusion algorithm, so that we can automatically obtain synthesis results without using 3d facial models.

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  • 算法人脸特征提取图像复合相结合,无需3人脸模型重建自动合成具有源图像主要五官特征结果图像。

    This paper combines facial features extraction with image fusion algorithm, so that we can automatically obtain synthesis results without using 3d facial models.

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