基于分形和曲面展开的雕刻作品生成技术

探索了基于分形技术的雕刻图形计算机辅助创新设计新技术，采用物理模型对雕刻学习曲面展开问题进行了详细地研究，给出了曲面展开算法，完成了分形图形向三维雕刻曲面的映射转换，构造出了更为复杂的雕刻图形。     

复杂雕刻型面特征造型技术的研究

本文结合雕刻学习的特点,给出了雕刻学习特征建模数据结构,说明了雕刻特征建模应注意的设计原则及其相关的操作,并就特征的定义及其表示给出了的详细的说明,系统能满足雕刻学习、雕刻设计、雕刻加工的需要,是一种切实可行的方法。     

MasterCAM编程和CNC数控铣床巧妙结合在雕刻加工中的应用

该文通过对圆弧曲面数控雕刻加工的实例表述,给出了圆弧曲面数控雕刻的编程加工应用步骤,在圆弧曲面数控雕刻加工中,针对于编程软件的特点和数控铣床的特点,采用了灵活实用编程方案和可靠有效的数控加工工艺,从而保证零件加工质量和加工效率,也使企业经济效益和生产水平得以提高。     

五自由度雕刻学习系统数据采集方法

详细给出了五自由度雕刻学习系统数据采集硬件原理和软件数据处理算法,包括系统机构原理、信号处理原理、串并口通信编程和数据处理方法.最后给出并分析了实验效果,实验表明效果较好,能满足雕刻学习的需要,是一种切实可行的方法.     

五自由度雕刻学习系统数据采集方法

详细给出了五自由度雕刻学习系统数据采集硬件原理和软件数据处理算法,包括系统机构原理、信号处理原理、串并口通信编程和数据处理方法。最后给出并分析了实验效果,实验表明效果较好,能满足雕刻学习的需要,是一种切实可行的方法。     

并联机器人曲面汉字雕刻刀路规划算法研究

解决了并联机器人在空间曲面上雕刻汉字时所遇到的相关问题,包括平面刀路向曲面刀路的映射方法、曲线插补计算及刀具姿态实时规划算法等,给出了算例并以6-PUS并联机器人为模型进行了实验,实验结果验证了所提方法的有效性和可行性,这些方法理论上适用于任意种类的文字及空间曲面,也适用于雕刻之外的其它加工领域.     

面向自动雕刻特征知识获取与搜索方法

提出面向雕刻学习的基于特征的框架知识描述方法，该方法具有搜索简便、便于分类记忆等特点，有利于描述雕刻特征及其雕刻工艺过程、继承雕刻艺术风格。在雕刻学习过程中，通过交互式“传授”与机器学习，能方便地利用雕刻者的经验知识建立起知识框架结构，实现对雕刻曲面的精确描述。     

基于MasterCAM的曲面雕刻数控加工

本文结合曲面雕刻加工实例探讨了在FANUC数控系统的加工中心机床上应用MasterCAM软件进行曲面雕刻的方法,包括建立曲面文字的雕刻模型,根据加工工艺要求选择加工方法和设置加工参数,将软件生成的刀具轨迹G代码传输至FANUC数控加工中心,实现了曲面文字雕刻的实际加工。此方法突破了手工编程的局限性,避     

UG中复杂曲面有限元网格划分的二次开发

论文详细地叙述了曲面网格生成的映射法和直接法,首次给出了UG中二次开发曲面网格划分程序的算法流程,并编写了网格划分的实现程序和用户界面,最后给出了若干网格划分实例,程序生成的曲面网格具有良好的质量。     

MasterCAM软件投影加工功能的应用

MasterCAM投影加工是将已经产生的刀具路径或几何图形(曲线、文字、点等)投影到已加工的曲面,生成切削曲面的刀路轨迹.可以完成零件表面的文字雕刻,在曲面上雕刻花纹或漂亮的几何图案等.     

面向橄榄核雕刻的模型编辑与刀具路径规划

随着技术的发展,机器雕刻越来越多地用于包括橄榄核雕在内的手工艺品雕刻行业.为自动生成适合于橄榄核随形雕刻的三维模型,并快速生成雕刻刀具路径,提出了一种面向橄榄核机器雕刻的模型编辑和刀具路径规划方法.首先通过基于方向包围盒的刚性对齐、基于改进的径向基函数的网格变形和近似刚性网格变形将已有的三维模型进行编辑,得到适用于橄榄...     

Image re-targeting with balanced energy map and foreground constraint

This paper presents a content-aware image re-targeting method based on seam carving. It first combines the image gradient and the visual saliency to measure the cost of the seams. Then proposes a method to evaluate the diagonal artifacts in addition to the previous horizontal and vertical artifacts for the forward seam carving method. At last, it develops a simple high-level saliency detection method to constrain the seam carving procedure for protecting the foreground contents. The experimental results showed that the proposed method can improve the visual quality of the re-targeted image and the robustness of the seam carving method. Moreover, the improved method is simple to implement, and can be easily applied to many existing seam carving based image resizing methods.     

Integrative 3D modelling of complex carving surface

Modelling of a complex carving surface is the most important process for digitization of art carving such as Chinese classical furniture carving, and it is difficult to be fulfilled. However, a complex 2D curve flower pattern can be easily acquired or drawn by handcraft or a drawing software. This paper presents a quick integrative 3D modeling method of complex carving surface based on a 2D curve flower pattern. The proposed method uses a scanning analysis algorithm, a normal distribution function and a distance function to model and create carving tracks. In this paper, the delamination, combination and interpolation of modelling process are described as well. The provided research method will make the modelling of complex carving surface more intelligent, agile, and will meet the requirement of integrative 3D modelling of digital art carving. Experimental results show that this method is of quick modelling and multi-model effective characteristics with realizable interactive designing and excellent practicability.     

Semantic aware sport image resizing jointly using seam carving and warping

In content aware image resizing, saliency map or gradient is usually used to determine the important regions of images. But for sport images such as basketball and football images, these methods may falsely classify parts of court fields as unimportant regions, while parts of grandstands as important regions. Such results are not consistent with human perception. In this paper, a semantic aware image resizing approach is proposed. We extract the semantic information automatically. We segment the court fields as important regions and detect the boundary of court fields as the semantic edges. Considering the complementary characteristic of discrete image resizing approaches such as seam carving and continuous approaches such as warping, seam carving and warping are jointly used in our scheme. We define the Semantic Weight Function (SWF) based on the semantically important regions. Then semantic aware seam carving (SASC) is proposed based on the SWF. Next we define the Deformation of Semantic Edges (DSE) to assess the image deformation caused by seam carving. Finally seam carving and warping are joined using the DSE. We compare our approach with approaches like scaling, seam carving and semantic aware seam carving (SASC). Experimental results show that our approach preserves more semantically important regions with less deformation. Our approach also preserves the aspect ratio of key objects.     

基于边缘检测的保特征的图像缩放算法

针对Seam Carving算法在实现图像缩放的过程中,对图像边缘几何特征造成破坏的现象,提出一种基于边缘检测的改进Seam Carving算法。首先在Seam Carving算法计算低能量线的同时引入图像边缘检测,其次确定低能量线与边缘的交点,进而提升交点邻域的能量,分散过于集中的低能量线。仿真实验结果表明,该算法能够有效减少Seam Carving算法缩放图像后产生的畸变,很好地保持了图像的重要几何特征。     

Optimized image resizing using flow-guided seam carving and an interactive genetic algorithm

In this paper, we introduce a novel method for content-aware image resizing based on flow-guided seam carving. It extends the existing seam carving framework by replacing the conventional energy field with a “structure-aware” energy field that takes into account the feature orientations in the image. Guided by this new energy field, our approach excels in preserving (i.e., avoiding the distortion of) important structures in the image, such as shape boundaries. We also present a simple user interface to further optimize the resizing result based on the genetic selection process among multiple resizing operators such as scaling, cropping, and flow-guided seam carving. We show that such simple user interaction, coupled with the genetic algorithm, dramatically increases the chances of producing the user-desired outcome.     

基于USB总线的激光三维雕刻控制系统

针对传统激光加工设备存在实时性不高、只能单机加工以及必须配置计算机的问题,开发基于USB总线的激光三维雕刻控制系统,具有USB主/从机2种工作模式并行智能切换。该系统在主机模式下,能直接读取USB移动存储器,在从机模式下,通过USB接口实现与计算机的数据传输,并利用一台PC机控制多台雕刻机实现多机同时加工,从而大幅度提高工效。     

Automatic Generation of Virtual Woodblocks and Multicolor Woodblock Printing

In this paper, we study a method to synthesize a multicolor virtual woodblock print by using several virtual woodblocks. It consists of two sections: carving and printing, to synthesize a virtual print. In the carving section, virtual woodblocks are generated by a user with supporting of an automatically carving method based on feature extraction of a gray value image. And woodblocks are also generated automatically by using a full-color image as a draft. In the printing section, a "paper sheet", a "printing brush" and "ink" are prepared in addition to the "woodblock" in the virtual space and the user synthesizes a woodblock print interactively. As the printing factors, a color of ink, a moisture value and a grain change the finish of the print. Using several virtual woodblocks and printing to a paper sheet in succession, a printing image of each woodblock is combined based on the printing factors and a multicolor virtual prints is synthesized.