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Computer Engineering ›› 2012, Vol. 38 ›› Issue (5): 224-226,229. doi: 10.3969/j.issn.1000-3428.2012.05.070

• Networks and Communications • Previous Articles     Next Articles

Image 3D Reconstruction Method Based on Silhouette Outline

CAO Yu a,b, CHEN Xiu-hong a   

  1. (a. School of Digital Media; b. Department of Computer, School of Internet of Things, Jiangnan University, Wuxi 214122, China)
  • Received:2011-06-30 Online:2012-03-05 Published:2012-03-05

基于侧影轮廓的图像三维重建方法

曹 煜a,b,陈秀宏a   

  1. (江南大学 a. 数字媒体学院;b. 物联网工程学院计算机系,江苏 无锡 214122)
  • 作者简介:曹 煜(1986-),男,硕士研究生,主研方向:计算机图形学,计算机视觉;陈秀宏,教授
  • 基金资助:
    中央高校基本科研业务费专项基金资助项目(JUSRP211 A70)

Abstract: Aiming at 3D reconstruction problem of a single image which is self-calibrated, this paper proposes a method based on silhouette outline. It uses angled plane mirror system to take a picture. After tracking the edge of the target object in the image, the closed contours are got. A pair of outlines of the silhouette which obey the plane mirror imaging principle are used to get vanishing points, so that camera parameters can be calculated by analyzing the constraints between vanishing points. The 3D model of the target object is obtained by using the camera parameters. Experimental results show that the method can realize 3D reconstruction of the target object distinctly and efficiently.

Key words: silhouette outline, plane mirror imaging principle, self-calibration, vanishing point, 3D reconstruction

摘要: 针对自标定单幅图像的三维重建问题,提出一种基于侧影轮廓的图像三维重建方法。使用成角度平面镜装置拍摄目标物体,对所得图像进行边缘跟踪,得到闭合的轮廓曲线,利用满足平面镜成像原理的2对侧影轮廓计算灭点,根据灭点间的约束关系计算相机参数,在此基础上重建得到物体的三维模型。实验结果表明,该方法能快速重建逼真的三维模型。

关键词: 侧影轮廓, 平面镜成像原理, 自标定, 灭点, 三维重建

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