Depth-Preserving Warping for Stereo Image Retargeting
文献类型:期刊论文
作者 | Li, Bing2,3,4; Duan, Ling-Yu3,4; Lin, Chia-Wen1,5; Huang, Tiejun3,4; Gao, Wen3,4 |
刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
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出版日期 | 2015-09-01 |
卷号 | 24期号:9页码:2811-2826 |
关键词 | Stereo image retargeting image warping optimization depth preservation |
ISSN号 | 1057-7149 |
DOI | 10.1109/TIP.2015.2431441 |
英文摘要 | The popularity of stereo images and various display devices poses the need of stereo image retargeting techniques. Existing warping-based retargeting methods can well preserve the shape of salient objects in a retargeted stereo image pair. Nevertheless, these methods often incur depth distortion, since they attempt to preserve depth by maintaining the disparity of a set of sparse correspondences, rather than directly controlling the warping. In this paper, by considering how to directly control the warping functions, we propose a warping-based stereo image retargeting approach that can simultaneously preserve the shape of salient objects and the depth of 3D scenes. We first characterize the depth distortion in terms of warping functions to investigate the impact of a warping function on depth distortion. Based on the depth distortion model, we then exploit binocular visual characteristics of stereo images to derive region-based depth-preserving constraints which directly control the warping functions so as to faithfully preserve the depth of 3D scenes. Third, with the region-based depth-preserving constraints, we present a novel warping-based stereo image retargeting framework. Since the depth-preserving constraints are derived regardless of shape preservation, we relax the depth-preserving constraints to fulfill a tradeoff between shape preservation and depth preservation. Finally, we propose a quad-based implementation of the proposed framework. The results demonstrate the efficacy of our method in both depth and shape preservation for stereo image retargeting. |
资助项目 | Natural Science Foundation of China[61271311] ; Natural Science Foundation of China[61390515] ; Natural Science Foundation of China[61421062] ; National High-Tech Research and Development Program of China (863 Program)[2015AA016302] |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000355760300005 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://119.78.100.204/handle/2XEOYT63/9713] ![]() |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Duan, Ling-Yu |
作者单位 | 1.Natl Tsing Hua Univ, Hsinchu 30013, Taiwan 2.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Technol, Beijing 100190, Peoples R China 3.Peking Univ, Inst Digital Media, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China 4.Cooperat Medianet Innovat Ctr, Beijing, Peoples R China 5.Asia Univ, Taichung 41351, Taiwan |
推荐引用方式 GB/T 7714 | Li, Bing,Duan, Ling-Yu,Lin, Chia-Wen,et al. Depth-Preserving Warping for Stereo Image Retargeting[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(9):2811-2826. |
APA | Li, Bing,Duan, Ling-Yu,Lin, Chia-Wen,Huang, Tiejun,&Gao, Wen.(2015).Depth-Preserving Warping for Stereo Image Retargeting.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(9),2811-2826. |
MLA | Li, Bing,et al."Depth-Preserving Warping for Stereo Image Retargeting".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.9(2015):2811-2826. |
入库方式: OAI收割
来源:计算技术研究所
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