DIY Graphics Tab: A Cost-Effective Alternative to Graphics Tablet for Educators
Not on the map. Why?
Abstract (arXiv)
Everyday, more and more people are turning to online learning, which has altered our traditional classroom method. Recording lectures has always been a normal task for online educators, and it has lately become even more important during the epidemic because actual lessons are still being postponed in several countries. When recording lectures, a graphics tablet is a great substitute for a whiteboard because of its portability and ability to interface with computers. This graphic tablet, however, is too expensive for the majority of instructors. In this paper, we propose a computer vision-based alternative to the graphics tablet for instructors and educators, which functions largely in the same way as a graphic tablet but just requires a pen, paper, and a laptop's webcam. We call it "Do-It-Yourself Graphics Tab" or "DIY Graphics Tab". Our system receives a sequence of images of a person's writing on paper acquired by a camera as input and outputs the screen containing the contents of the writing from the paper. The task is not straightforward since there are many obstacles such as occlusion due to the person's hand, random movement of the paper, poor lighting condition, perspective distortion due to the angle of view, etc. A pipeline is used to route the input recording through our system, which conducts instance segmentation and preprocessing before generating the appropriate output. We also conducted user experience evaluations from the teachers and students, and their responses are examined in this paper.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 27 references that are in the map. First posted on arXiv 5 Dec 2021.
Builds on
4 of 27 references.
References · 4
- 2017Mask R-CNNcited by 7,277
- 2019YOLACT: Real-time Instance Segmentationcited by 443
- 2019YOLACT++: Better Real-time Instance Segmentationcited by 84
- 2018The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mappingcited by 11
Built on by
Not cited yet.