Algorithm for dynamic 3D object generation from multi-viewpoint images
Algorithm for dynamic 3D object generation from multi-viewpoint images
复制标题
从多视点图像生成动态 3D 对象的算法
DOI：
10.1117/12.571117
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Y. Iwadate
中科院分区：
文献类型：
--
作者：
Kimihiro Tomiyama;Y. Orihara;Miwa Katayama;Y. Iwadate
提出了一种基于多视点图像的高分辨率动态三维物体生成方法。该动态3D对象可以从任意视点显示运动人体的精细图像，并且由针对每个视频帧生成的对象的3D模型组成。为了生成高分辨率的动态三维物体，我们提出了一种从多视点图像生成三维模型的方法。该方法使用立体匹配来细化由体积相交方法获得的近似3D模型。此外，为了再现高分辨率纹理，我们开发了一种新的技术，该技术获得了3D模型的顶点和多边形的可见性。通过对19台火线摄像机的建模实验，证实了该方法能够有效地生成高分辨率的动态3D对象。
In this paper, we present a high-resolution dynamic 3D object generating method from multi-viewpoint images. This dynamic 3D object can display fine images of the moving human body form arbitrary viewpoints, and consists of subject's 3D model generated for each video frame. To create a high-resolution dynamic 3D object, we propose a 3D-model-generation method from multi-viewpoint images. The method uses stereo matching to refine an approximate 3D model obtained by the volume intersection method. Furthermore, to reproduce high-resolution textures, we have developed a new technique which obtains the visibility of vertices and polygons of 3D models. A modeling experiment performed with 19 fire-wire cameras confirmed that the proposed method effectively generates high-resolution dynamic 3D objects.