Semi-Automatic 2D-to-3D Conversion Using Low-Rank Matrix Recovery

International journal of online engineering

Hongxing Yuan¹ 

[1] Ningbo University of Technology

关键词: 2D-to-3D conversion;    depth estimation;    piecewise-continuity;    low-rank;    sparse interpolation;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

Semi-automatic 2D-to-3D conversion is a promising solution to 3D stereoscopic content creation. However, the depth continuous transition between user marked neighboring regions will be lost when user scribbles are sparse. To help solve this problem, a piecewise-continuity regularized low-rank matrix recovery method is developed. Our approach is based on the fact that a depth-map can be decomposed into a low-rank matrix and an outlier term matrix. First, an initial dense depth-map is interpolated from the user scribbles using matting Laplacian scheme under the assumption that depth-map is piecewise-continuous. Second, a piecewise-continuity constrained low-rank recovery model is developed to remove outliers which are introduced by the interpolation. Experimental comparisons with existing algorithms show that our method demonstrates significant advantage over depth continuous transition between neighboring regions.

【 授权许可】

Unknown