Depth-Aware Image Seam Carving

doi:10.1109/TCYB.2013.2273270

OPT OpenIR > 光谱成像技术研究室

	Depth-Aware Image Seam Carving
	Shen, Jianbing 1; Wang, Dapeng 1; Li, Xuelong2
	2013-10-01
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
卷号	43 期号:5 页码:1453-1461
摘要	Image seam carving algorithm should preserve important and salient objects as much as possible when changing the image size, while not removing the secondary objects in the scene. However, it is still difficult to determine the important and salient objects that avoid the distortion of these objects after resizing the input image. In this paper, we develop a novel depth-aware single image seam carving approach by taking advantage of the modern depth cameras such as the Kinect sensor, which captures the RGB color image and its corresponding depth map simultaneously. By considering both the depth information and the just noticeable difference (JND) model, we develop an efficient JND-based significant computation approach using the multiscale graph cut based energy optimization. Our method achieves the better seam carving performance by cutting the near objects less seams while removing distant objects more seams. To the best of our knowledge, our algorithm is the first work to use the true depth map captured by Kinect depth camera for single image seam carving. The experimental results demonstrate that the proposed approach produces better seam carving results than previous content-aware seam carving methods.
文章类型	Article
关键词	Energy Optimization Image Retargeting Kinect Depth Camera Saliency Seam Carving
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TCYB.2013.2273270
收录类别	SCI ; EI
关键词[WOS]	VISUAL-ATTENTION MODEL
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000324586700013
引用统计	被引频次：54[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/23177
专题	光谱成像技术研究室
作者单位	1.Beijing Inst Technol, Sch Comp Sci, Beijing Key Lab Intelligent Informat Technol, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Optic & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Shen, Jianbing,Wang, Dapeng,Li, Xuelong. Depth-Aware Image Seam Carving[J]. IEEE TRANSACTIONS ON CYBERNETICS,2013,43(5):1453-1461.
APA	Shen, Jianbing,Wang, Dapeng,&Li, Xuelong.(2013).Depth-Aware Image Seam Carving.IEEE TRANSACTIONS ON CYBERNETICS,43(5),1453-1461.
MLA	Shen, Jianbing,et al."Depth-Aware Image Seam Carving".IEEE TRANSACTIONS ON CYBERNETICS 43.5(2013):1453-1461.

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