Lvmin Zhang
ABSTRACT
Screenshot is a frequently used tool in our daily life, while the screenshot capturing techniques are not much discussed in computer graphics and image processing researches. Capturing a screenshot is not always as easy as it seems. Firstly, the target devices for screenshot capturing must have screenshot software installed or featured in their operating systems. Secondly, the users must have input access to control the screenshot software within the target devices. Thirdly, the target devices must have Internet access or other hardware interfaces (such as USB ports) so that the users can take their screenshots out. When these requirements are not met, people often need to use their smartphones to take photographs in front of the screens as a substitute of screenshots. This allows direct sharing of the screen content, but the fidelity of the obtained content is apparently not as good as software screenshots. Might we be able to achieve a computer graphic solution to directly convert a screen photography to a screenshot, which looks like as if it was taken using software?
- Blender Online Community. 2018. Blender - a 3D modelling and rendering package. Blender Foundation, Stichting Blender Foundation, Amsterdam. http://www.blender.orgGoogle Scholar
- Taeho Kil, Wonkyo Seo, Hyung Il Koo, and Nam Ik Cho. 2017. Robust Document Image Dewarping Method Using Text-Lines and Line Segments. In Document Analysis and Recognition (ICDAR) 2017, 14(2017), 865–870.Google Scholar
- Beom Su Kim, Hyung Il Koo, and Nam Ik Cho. 2015. Document dewarping via text-line based optimization. Pattern Recognition 48, 11 (2015), 2015.Google ScholarDigital Library
- Xiaoyu Li, Bo Zhang, Jing Liao, and Pedro V. Sander. 2019. Document Rectification and Illumination Correction using a Patch-based CNN. ACM Transactions on Graphics (TOG) (11 2019).Google Scholar
- Ke Ma, Zhixin Shu, Xue Bai, Jue Wang, and Dimitris Samaras. 2018. DocUNet: Document Image Unwarping via A Stacked U-Net. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 4700–4709.Google ScholarCross Ref
Index Terms
Screenshots from Screen Photography
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