计算机应用 ›› 2011, Vol. 31 ›› Issue (02): 344-346.

• 图形图像处理 • 上一篇    下一篇

多视觉环境下联合多约束的三维目标体重建

陈宁1,李秀秀2,郑江滨2   

  1. 1. 西北工业大学计算机学院
    2.
  • 收稿日期:2010-07-21 修回日期:2010-09-11 发布日期:2011-02-01 出版日期:2011-02-01
  • 通讯作者: 陈宁
  • 基金资助:
    基于图形处理器的高性能计算;西北工业大学研究生创业种子基金

3D voxel reconstruction under multiple constraints in multi-view environment

  • Received:2010-07-21 Revised:2010-09-11 Online:2011-02-01 Published:2011-02-01

摘要: 提出了一种联合多种约束条件的体元重建方法。首先将场景空间离散为体元,并从多视获取的二维图像中提取目标轮廓信息;其次利用侧影轮廓约束及颜色一致性约束,恢复目标三维信息;针对重建模型存在漂浮体元和毛刺现象,提出加入平滑约束解决该问题;最后提出模型修复算法对模型表面空洞进行填补,解决重建模型空洞问题。实验结果表明,该方法可重建颜色纹理信息准确的目标外形,且模型光滑细腻,表面空洞得到有效填补。

关键词: 体元重建, 侧影轮廓, 体元一致性, 外形获取, 空洞填补

Abstract: A new voxel reconstruction under multiple constraints was proposed. Firstly, the scene was discreted to voxel, and target silhouette information was extracted in multi-view-obtained 2D image. Secondly, two constraints were used to recover target 3D information, which were silhouette constraint and the color consistency constraint. Smooth constrict was used to solve the problem that reconstructed model had float voxel and glitch. Based on the composition of the three forces, the floating voxels and the burrs could be restrained efficiently. Finally, a model recovering algorithm was proposed to fill the holes on the surface of the reconstructed model. The experimental results demonstrate that the method can reconstruct the target appearance with correct color and texture information, also the model is smooth and delicate, thus the hole can be filled effectively.

Key words: voxel reconstruction, silhouette, voxel consistency, shape acquisition, hole filling