摘要
为了缓解3D片源的不足,在结构化重建技术的基础上提出一种基于图层优化与融合的2D—3D视频转换方法.首先通过分段化结构重建框架得到场景离散的3D结构信息;然后以此为深度线索,使用一种扩展的GrabCut交互式分割方法提取出不同物体所在的图层,在每个图层上先对深度进行稠密扩散,再结合多种约束采用优化算法来增强区域层次感;最后将不同图层的深度根据视觉显著性特征进行融合,从而完成2D—3D视频转换.实验和评估结果表明,该方法可以得到令人满意的转换效果.
To alleviate proposed in this work the shortage of 3D media sources, a 2D-3D video conversion method is which is based on layered optimization and integration on the preliminary results from structure from motion （SFM）. The main steps include： Firstly, depth cue of scene sparse structures is obtained by a segment-wise SFM approach. Secondly, an extended interactive segmentation algorithm based on GrabCut is used to extract different object layers, and then dense depth generation and optimization are carried out in each layer independently to enhance local visual stereoscopic quality. Thirdly, depth of different layers are integrated considering the visual saliency features to complete 2D-3D video conversion. Experiments show that the proposed method can yield more visually satisfactory results.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2012年第11期1426-1439,共14页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金(61070107
60835003)
