Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment

Milind G. Padalkar; Manjunath V. Joshi

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Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment

机译：自动修复遗产场景：通过定量评估来检测和填充图像和视频中裂缝的完整框架

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摘要

The need for preservation of cultural heritage has necessitated the research on digitally repairing the photographs of damaged monuments. In this paper, we first propose a technique for automatically detecting the cracked regions in photographs of monuments. Unlike the usual practice of manually selecting the mask for inpainting, the detected regions are supplied to an inpainting algorithm. Thus, the process of digitally repairing the cracked regions that physical objects have, using inpainting, is completely automated. The detection of cracked regions is based on comparison of patches, for which we use a measure derived from the edit distance, which is a popular string metric used in the area of text mining. Further, we extend this method to perform inpainting of video frames by making use of the scale-invariant feature transform and homography. We consider the camera to move while capturing video of the heritage site, as such videos are typically captured by novices, hobbyists and tourists. Finally, we also propose a video quality measure to quantify the temporal consistency of the inpainted video. Experiments have been carried out on videos captured from the heritage site at Hampi, India.

机译：为了保护文化遗产，有必要进行数字修复受损古迹照片的研究。在本文中，我们首先提出了一种自动检测纪念碑照片中破裂区域的技术。与通常手动选择遮罩进行修补的通常做法不同，将检测到的区域提供给修补算法。因此，使用修补技术对物理对象具有的裂纹区域进行数字修复的过程是完全自动化的。裂纹区域的检测基于补丁的比较，为此，我们使用源自编辑距离的度量，该距离是文本挖掘领域中常用的字符串度量。此外，我们将这种方法扩展为通过使用尺度不变特征变换和单应性来执行视频帧的修复。我们认为摄像头在捕获遗址的视频时会移动，因为此类视频通常是由新手，业余爱好者和游客捕获的。最后，我们还提出了一种视频质量度量来量化修复视频的时间一致性。实验是对从印度亨比遗址获得的视频进行的。

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《Machine Vision and Applications》 |2015年第3期|317-337|共21页
作者
Milind G. Padalkar; Manjunath V. Joshi;
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作者单位

Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India;

Dhirubhai Ambani Institute of Information and Communication Technology, Gandhinagar, Gujarat, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Auto-inpainting; Heritage scenes; Crack-detection; Edit distance; SIFT; Homography;

机译：自动修复;文物古迹;裂纹检测;编辑距离;筛;单应性;

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机译：用于视频成像的视频库检测交叉口停止线

Auto-inpainting heritage scenes: a complete framework for detecting and infilling cracks in images and videos with quantitative assessment

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