基于单幅图片的唐代服装褶皱信息提取研究

Tang dynasty clothing folds information extraction based on single images

针对传统提取信息方法的局限性和对唐代服饰进行信息提取自身的特点,提出了一种利用图片的灰度值作为深度信息的唐代服装褶皱信息提取方法.在计算机视觉OpenCV技术平台上,及其Photoshop图像处理技术上对提取服装褶皱信息的方法进行研究.在Photoshop中对图片进行预处理,然后在OpenCV平台上对图片进行褶皱信息提取,并将具体数据输出,并用Maya建模软件对输出的褶皱数据信息进行三维恢复,使唐代服装模型立体化重现.利用这种方法突破了传统建模方法只能对简单物体进行三维恢复的局限性,提高了建模效率,使模型达到逼真的三维可视化效果.

To overcome the limitations of traditional information extraction and modeling of the Tang dynasty costumes of their own characteristics,the information extraction method of Tang dynasty clothing wrinkle is presented by using the gray value.On the OpenCV computer vision technology platform,and Photoshop image processing technology,the extracting costume fold information is studied.The images are preprocessed in Photoshop,and then the pictures′folds information is extracted on OpenCV platform,and specific data is put out,and output fold information is completed by using Maya software to achieve three-dimensional models of Tang clothing reproducing.This method breaks throngh the limitations of simple three-dimensional traditional modeling methods,improves the modeling efficiency,and achieves a realistic three-dimensional visualization.