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	基于关键点滤波的深度图提取; Depth Map Extraction Based on Critical Point Filtering
	唐骏 ; 张贻雄 ; 刘虹
	2015-01-28
关键词	2D/3D的转换 深度图 关键点滤波 相机移动估计 2D to 3D video conversion depth map critical point filtering camera motion estimati on
英文摘要	基于单帧视频2d/3d转换,深度估计是关键。提出一种在伴有相机移动情况下,基于运动的深度估计新方法,采用关键点滤波获取每帧视频像素级的运动矢量。由于相机的移动会引起伪运动矢量,从而导致深度信息模糊,为解决这一问题,采用鲁棒的rAnSAC算法估计相机移动模型。首先,通过无相机移动的运动矢量来估计初始深度图。然后,利用基于同类点的后置滤波修正运动物体边缘像素的深度信息。实验结果表明,在有相机移动情况下,该方法对深度图的估计可以取得较好效果。; Depth estimation is crucial for 2D/3D conversion from monoscopic video.A novel method for depth estimation from motion with camera motion is proposed.In the proposed method,image matching using critical point filters is applied to extract the pixel-level motion field for each frame.As camera motion can bring pseudo motion vectors by image matching,and thus leading to depth ambiguity.To solve this problem,the camera moving model using robust RANSAC algorithm is proposed to estimate.Then,the initial depth map is estimated by using the motion vectors without camera motion.Finally,the depth values of the pixels at the edges of moving objects are refined using a post filter based on homogeneous points.Experimental results show that the proposed method achieves considerable performances on depth map in presence of camera motion.; 福建省教育厅A类项目(JA13235); 国家自然科学基金项目(No.61202013)资助
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/123236]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	唐骏,张贻雄,刘虹. 基于关键点滤波的深度图提取, Depth Map Extraction Based on Critical Point Filtering[J],2015.
APA	唐骏,张贻雄,&刘虹.(2015).基于关键点滤波的深度图提取..
MLA	唐骏,et al."基于关键点滤波的深度图提取".(2015).

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