摘要
在形状基不定情况下,对三维服装信息提取过程存在特征关联较弱,分割区域扩大等问题。为此,提出一种基于3D打印与三维图像处理的服装信息提取方法。首先对采集的服装三维图像进行纹理特征分割,图像序列自适应块匹配方法进行信息增强处理,然后采用桌面型3D打印技术进行服装设计中的图像三维重构,进行服装三维图像表面渲染,实现服装信息提取。最后通过仿真实验进行性能测试,结果表明：采用该方法进行服装信息提取,能准确反映服装的纹理信息和三维渲染信息,服装设计的色彩均衡性较好,有效指导服装设计优化。
In the case of uncertain shape, the three-dimensional garment information extraction process has weak characteristics correlation, segmentation area expansion and other issues. Thus, a new method of garment informa- tion extraction based on 3D printing and 3D image processing was proposed. Firstly, the three-dimensional gar- ment image was segmented by texture feature, and image sequence adaptive block matching method was used to perform information enhancement processing. Then using the desktop 3D printing technology carried out three-di- mensional image reconstruction in the garment design, and the three-dimensional garment image surface rendering was performed, to achieve garment information extraction. Finally, performance tests were performed by simula- tion experiments. The results show that the proposed method can be used to extract the garment information, which can accurately reflect the garment texture information and the three-dimensional rendering information. The color balance of the garment design is better and the garment design is optimized effectively.
作者
董雪峰
朱宁
Xue-feng DONG Ning ZHU(School of Art, Taihu University of Wuxi, Wuxi 214000,China)
出处
《机床与液压》
北大核心
2017年第18期111-116,共6页
Machine Tool & Hydraulics
关键词
3D打印
三维图像处理
服装信息提取
纹理特征分割
表面渲染
色彩均衡性
3D printing, 3D image processing, Garment information extraction, Texture feature segmentation,Surface rendering, Color balance
