NDLI: Image completion with perspective constraint based on a single image

Content Provider	Springer Nature Link
Author	Hao, ChuanYan Chen, YaDang Wu, Wen Wu, EnHua
Copyright Year	2015
Abstract	Although image completion has been used in many image filling and editing problems for a long time, it is rarely applied in the scenario regarding the perspective effect which is demonstrated largely in the design of urban architectures. Thus this paper proposes a method to capture the perspective information automatically based on a single image and employs it to image completion tasks effectively. Actually it is difficult to automatize the extraction from only a single image, but it has been observed that architectures usually contain plenty of repetitions and symmetries which could be described through periodicity. Therefore, our approach first determines the initial vanishing points through the cascaded hough transformation. Then, a refinement scheme based on SIFT feature matching is proposed to obtain the accurate vanishing points. At last, a good perspective mesh is generated from the geometry calculation. The experiments show that this method could be used to automatically extract perspective information from a single image and recover the image in a visually plausible way.尽管图像填补技术已经广泛应用在各种图像编辑任务中, 但却很少作用在大量具有透视效果的场景中. 本文针对大量建筑物反映出的透视结构, 提出一种基于单幅图像的透视信息自动提取技术并有效应用于图像填补等问题上. 为了实现基于单幅图像的自动化提取, 首先应用级联霍夫变换算法取得初始灭点, 然后利用户外建筑结构具有大量重复性和对称性的特点提出了基于 SIFT 特征匹配的灭点修正方法, 最后通过几何计算得到图像填补所需要的透视网格. 准确的透视网格约束了图像填补工作, 实验结果证明, 该方法可以自动有效地从单幅图像中提取户外建筑结构的透视信息, 并合理地恢复具有透视约束的图像.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISSN	1674733X
Journal	Science in China Series : Information Sciences
Volume Number	58
Issue Number	9
e-ISSN	18691919
Language	Chinese
Publisher	Science China Press
Publisher Date	2015-07-14
Publisher Place	Beijing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	perspective constraint image completion image inpainting texture synthesis mesh vanishing point hough transform SIFT features Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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