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基于语义约束与Graph Cuts的稠密三维场景重建
王伟; 高伟; 胡占义
2014
发表期刊中国科学 信息科学
卷号44期号:6页码:774-792
其他摘要
A new and effective dense 3D scene reconstruction algorithm is proposed in this work. At first, in order to speedup the reconstruction process and reduce possible unnecessary interference by unrelated regions, such as sky, ground, etc., to the desired architectural scene, a semantic image segmentation step is carried out at first to mask those uninterested parts. After that, an initial depth map is obtained by Daisy-feature based 3D
point propagation. To tackle the difficult dense reconstruction problem of poorly textured regions and slanted surfaces, the problem is formulated as a plane inference problem under the MRF energy minimization framework to assign a possible planar patch to each image superpixel. More specifically, at first, the plane principal directions and possible non-principal are clustered by the affinity propagation from the reconstructed point clouds, then the plane inference is carried out along the principal directions first, followed by the non-principal directions. In each of the above two plane inference steps, a Graph Cuts based algorithm is employed to minimize a properly designed cost function which takes into account a variety of factors, such as appearance similarity, the constraints from the
initial depth map, spatial planes priors, as well as geometric relations between spatial planes etc. Experiments on the standard data set as well as our own data set show that the our proposed algorithm can satisfactorily handle many challenging factors, e.g. illumination variation, perspective distortion, poorly textured regions, etc.,
to efficiently recover complete dense depth map of buildings.
关键词语义标注 平面拟合
收录类别EI
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/15322
专题模式识别国家重点实验室_机器人视觉
通讯作者高伟
作者单位中国科学院自动化研究所模式识别国家重点实验室
推荐引用方式
GB/T 7714
王伟,高伟,胡占义. 基于语义约束与Graph Cuts的稠密三维场景重建[J]. 中国科学 信息科学,2014,44(6):774-792.
APA 王伟,高伟,&胡占义.(2014).基于语义约束与Graph Cuts的稠密三维场景重建.中国科学 信息科学,44(6),774-792.
MLA 王伟,et al."基于语义约束与Graph Cuts的稠密三维场景重建".中国科学 信息科学 44.6(2014):774-792.
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