目的数字浅浮雕是在平面载体上塑造高低起伏形象的一种造型艺术,具有独特的结构及视觉效果,应用场景极为广泛。为了增加数字浮雕设计的多样性,实现浮雕的风格化应用,提出一种基于高度图的浅浮雕模型生成方法。方法引入掩模理论,利用掩...目的数字浅浮雕是在平面载体上塑造高低起伏形象的一种造型艺术,具有独特的结构及视觉效果,应用场景极为广泛。为了增加数字浮雕设计的多样性,实现浮雕的风格化应用,提出一种基于高度图的浅浮雕模型生成方法。方法引入掩模理论,利用掩模操作对待处理的图像进行处理,融合图像处理技术,控制所要生成浮雕不同部位的高度,得到控制浮雕生成效果的高度图,借鉴已有的浅浮雕模型生成方法,利用基于高斯混合模型的滚动引导法向滤波(Gaussian mixture model based rolling guidance normal filtering,GRNF)进行法向分解,基于Sf G(surface from gradients)的局部调整和全局重建的方法进行曲面重建,采用拉普拉斯算子及双边滤波器进行去噪平滑处理,最终生成不同高度风格的浅浮雕模型。结果实验结果表明,本文方法能够生成带有不同视觉效果的浅浮雕模型,通过对细节特征及结构特征相关参数的调整,均能够生成轮廓清晰、细节丰富的浅浮雕模型。结论本文提出的基于高度图的浅浮雕模型生成方法能够为浅浮雕的多样化设计提供新的思路和方法,在家居装饰行业中有重要的应用价值。展开更多
This study presents a reliable method for the semi-automatic generation of an FE model, which determines both geometrical data and bone properties from patient CT scans.3D FE analysis is one of the best approaches to ...This study presents a reliable method for the semi-automatic generation of an FE model, which determines both geometrical data and bone properties from patient CT scans.3D FE analysis is one of the best approaches to predict the stress and strain distribution in complex bone structures, but its accuracy strongly depends on the precision of input information. In geometric reconstruction, various methods of image processing, geometric modeling and finite element analysis are combined and extended. Emphasis is given to the assignment of the material properties based on the density values computed from CT data. Through this technique, the model with high geometric and material similarities were generated in an easy way. Consequently, the patient-specific FE model from mandible CT data is realized also.展开更多
A 3D road geometry reconstruction system using on-board camera for vehicle driver assistance is developed. Given calibration of the camera, 3D structure of the road in front of the vehicle is built via multiple vanish...A 3D road geometry reconstruction system using on-board camera for vehicle driver assistance is developed. Given calibration of the camera, 3D structure of the road in front of the vehicle is built via multiple vanishing points estimation and local parallelism of the road. The road will be modeled as a piecewise linear approximation of space curve. Vanishing points are estimated through line grouping and histogram method in the image. The system is not restricted to the roads which lie on 2D plane, but also is capable of recovering a full 3D geometry. The ambiguity of distance （scale） is resolved by usage of parallel line segnents an the road image.展开更多
文摘目的数字浅浮雕是在平面载体上塑造高低起伏形象的一种造型艺术,具有独特的结构及视觉效果,应用场景极为广泛。为了增加数字浮雕设计的多样性,实现浮雕的风格化应用,提出一种基于高度图的浅浮雕模型生成方法。方法引入掩模理论,利用掩模操作对待处理的图像进行处理,融合图像处理技术,控制所要生成浮雕不同部位的高度,得到控制浮雕生成效果的高度图,借鉴已有的浅浮雕模型生成方法,利用基于高斯混合模型的滚动引导法向滤波(Gaussian mixture model based rolling guidance normal filtering,GRNF)进行法向分解,基于Sf G(surface from gradients)的局部调整和全局重建的方法进行曲面重建,采用拉普拉斯算子及双边滤波器进行去噪平滑处理,最终生成不同高度风格的浅浮雕模型。结果实验结果表明,本文方法能够生成带有不同视觉效果的浅浮雕模型,通过对细节特征及结构特征相关参数的调整,均能够生成轮廓清晰、细节丰富的浅浮雕模型。结论本文提出的基于高度图的浅浮雕模型生成方法能够为浅浮雕的多样化设计提供新的思路和方法,在家居装饰行业中有重要的应用价值。
文摘This study presents a reliable method for the semi-automatic generation of an FE model, which determines both geometrical data and bone properties from patient CT scans.3D FE analysis is one of the best approaches to predict the stress and strain distribution in complex bone structures, but its accuracy strongly depends on the precision of input information. In geometric reconstruction, various methods of image processing, geometric modeling and finite element analysis are combined and extended. Emphasis is given to the assignment of the material properties based on the density values computed from CT data. Through this technique, the model with high geometric and material similarities were generated in an easy way. Consequently, the patient-specific FE model from mandible CT data is realized also.
基金supperted by the National ITIndustry Promotion Agency(NIPA)(NIPA-2010-C1090-1021-0010),KOREA
文摘A 3D road geometry reconstruction system using on-board camera for vehicle driver assistance is developed. Given calibration of the camera, 3D structure of the road in front of the vehicle is built via multiple vanishing points estimation and local parallelism of the road. The road will be modeled as a piecewise linear approximation of space curve. Vanishing points are estimated through line grouping and histogram method in the image. The system is not restricted to the roads which lie on 2D plane, but also is capable of recovering a full 3D geometry. The ambiguity of distance （scale） is resolved by usage of parallel line segnents an the road image.
