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Learning across views for stereo image completion

文献类型：期刊论文

作者Ma, Wei1; Zheng, Mana1; Ma, Wenguang1; Xu, Shibiao2; Zhang, Xiaopeng2
刊名IET COMPUTER VISION
出版日期2020-10-01
卷号14期号:7页码:482-492
ISSN号1751-9632
DOI10.1049/iet-cvi.2019.0775
通讯作者Xu, Shibiao(shibiao.xu@nlpr.ia.ac.cn)
英文摘要Stereo image completion (SIC) is to fill holes existing in a pair of stereo images. SIC is more complicated than single image repairing, which needs to complete the pair of images while keeping their stereoscopic consistency. In recent years, deep learning has been introduced into single image repairing but seldom used for SIC. The authors present a novel deep learning-based approach for SIC. In their method, an X-shaped fully convolutional network (called SICNet) is proposed and designed to complete stereo images, which is composed of two branches of convolutional neural network layers to encode the context of the left and right images separately, a fusion module for stereo-interactive completion, and two branches of decoders to produce completed left and right images, respectively. In consideration of both inter-view and intra-view cues, they introduce auxiliary networks and define comprehensive losses to train SICNet to perform single-view coherent and cross-view consistent completion simultaneously. Extensive experiments are conducted to show the state-of-the-art performances of the proposed approach and its key components.
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000598689800009
出版者INST ENGINEERING TECHNOLOGY-IET
源URL[http://ir.ia.ac.cn/handle/173211/42719]  
专题模式识别国家重点实验室_三维可视计算
通讯作者Xu, Shibiao
作者单位1.Beijing Univ Technol, Fac Informat Technol, 100 Pingleyuan St, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Ma, Wei,Zheng, Mana,Ma, Wenguang,et al. Learning across views for stereo image completion[J]. IET COMPUTER VISION,2020,14(7):482-492.
APA Ma, Wei,Zheng, Mana,Ma, Wenguang,Xu, Shibiao,&Zhang, Xiaopeng.(2020).Learning across views for stereo image completion.IET COMPUTER VISION,14(7),482-492.
MLA Ma, Wei,et al."Learning across views for stereo image completion".IET COMPUTER VISION 14.7(2020):482-492.

入库方式： OAI收割

来源：自动化研究所

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