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多视觉环境下联合多约束的三维目标体重建

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

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【作者】 陈宁李秀秀郑江滨

【Author】 CHEN Ning,LI Xiu-xiu,ZHENG Jiang-bin(School of Computer Science,Northwestern Polytechnical University,Xi’an Shaanxi 710129,China)

【机构】 西北工业大学计算机学院

【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。

【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.

【基金】 国家自然科学基金资助项目(60970069);西北工业大学研究生创业种子基金资助项目(Z2010070)
  • 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2011年02期
  • 【分类号】TP391.41
  • 【被引频次】1
  • 【下载频次】96
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