Greetings

I'm a 4th-year Ph.D. candidate in Computer Science at the University of Toronto, working under the supervision of Prof. Khai Truong.

My research centers human-AI interaction, with an emphasis on accessibility and creativity support, particularly in enhancing "music accessibility" for d/Deaf and hard-of-hearing individuals. One of my main projects involves song signing to support culturally responsive content creation and encourage collaboration between d/Deaf and non-d/Deaf artists. Another aspect of my work focuses on enhancing people's well-being. I am engaged in projects that support individuals with dementia in their out-of-home experiences and encourage mindful eating behaviours among children.

I completed my B.Sci in Computer Science and Engineering at Ewha Womans University, where I was advised by Prof. Uran Oh (Human-Computer Interaction Lab) and Prof. Hyokyung Bahn (Distributed Computing and Operating System Lab). Additionally, I worked as a research intern at the Samsung AI Centre Toronto under the guidance of Dr. Iqbal Mohomed, and at NAVER AI (HCI group) with Dr. Young-Ho Kim.
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Open SW project (Computer Vision): Automatic document scanner (Spring, 2019)

Class: Open SW project
Date: Spring 2019
Professor: Dongbo Min
Main Idea: Automatic document scanning
Methods: Canny edge Detector + Hough Transformation + Find Contour + Convex Hull
Results: 


Automatic document scanning

Suhyeon Yoo

Junior of Ewha Computer Engineering

ysh9473@naver.com

 


Abstract

This final project solves projective distortions: 1) general (easy) case, 2) case where height < width, 3) case where some corners are missing, 4) case where there exist background clutters, 5) case where documents are partially occluded. 6) case with severe perspective distortion. The main function used is Canny edge Detector + Hough Transformation + Find Contour + Convex Hull. Hough transformation with Convex hull process solves key problems about filling the missing edge in the result of Canny edge detection.


1.   Introduction

The given final project goal was to correct projective distortions when capturing an image. The ideal goal is to make an Android app like Adobe Scanner that right after people take pictures using smartphone, It automatically changes to pdf. However, this process was too complex since it needs knowledge of Android and Java programming and UI development. Therefore, we assumed that taking pictures, distortion correction, and converting pdf is all done in the PC.


                














































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