Affiliation	Graduate School of Science and Technology ―Master course 2nd year
	Team	Computational Aesthetics
	Research theme	LinDA: A Semi-Automatic System for Generating Cityscape Background Images
	E-mail	megumi.nomurafj.ics.keio.ac.jp
	Website	－

Self-introduction

I study a semi-automatic generation system of hand-drawn line drawings for the background of buildings as a support for creating digital Manga. I like drawing, and I wanted to have such a function from my own experience, so I made it a research theme.

Education

April 2019 – present	M.E. in Information and Computer Science, Graduate School of Science and Technology, Keio University
April 2015 – March 2019	B.E. in Information and Computer Science, Keio University

Publications

Presentations

1. Megumi Nomura, Masanori Nakayama, Issei Fujishiro: “LinDA: A semi automatic system
   for generating cityscape background images―Converting stroke textures based on line segment features―,” Federation of Imaging Societies 6th Autumn Convention, Kyoto Institute of Technology, October 31―November 1, 2019 (in Japanese).
2. Megumi Nomura, Masanori Nakayama, Issei Fujishiro: “LinDA: Feature extraction of line segments for semi-automatic generation of cartoon background images,” in Proceedings of the 81th National Convention of International Processing Society of Japan, Vol. 4, pp. 163―164,  Fukuoka University, Fukuoka-city, March 14―16, 2019 (in Japanese). Student Encouragement Award
3. Megumi Nomura, Masanori Nakayama, Issei Fujishiro:  “LinDA: Feature extraction and classification of line segments for semi-automatic generation of cartoon background images,”  in The Technical Report of the Institute of Image Information and Television Engineers, Vol. 43, No.9, pp. 277―280,  Waseda University, Shinjuku, March 12, 2019 (in Japanese).

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