Shuhei Kodama / PhD

Assistant Professor
Department of Information Systems and Multimedia Design
School of Science and Technology for Future Life
Tokyo Denki University
email: s-kodama (at) vcl.jp
[Japanese]

Projects


Creativity Enhancement of Painterly Rendering using a Suggestive Interface
Shuhei Kodama, Pierre Poulin, Tomoaki Moriya, Tokiichiro Takahashi
Computers & Graphics

Publications


Peer-Reviewed Journal and Full Papers

  • Rena Okuri, Shuhei Kodama, and Tokiichiro Takahashi: Eyeliner Looked “Attractive” by Eyelids Shape Using Eyeliner Models, IIEEJ Transactions on Image Electronics and Visual Computing, vol.10, no.2, pp.170-180, 2022.

  • Rena Okuri, Shuhei Kodama, and Tokiichiro Takahashi: Measurement of Eye Size Illusion Caused by Thickness of Eyeliner on Double-Eyelid Eyes, IIEEJ Transactions on Image Electronics and Visual Computing, vol.10, no.1, pp.47-54, 2022.

  • Ryo Takahashi, Koichi Ashida, Yasuo Kobayashi, Rumi Tokunaga, Shuhei Kodama, and Norimichi Tsumura: Oxygen Saturation Estimation Based on Optimal Band Selection from Multi-band Video, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.3845-3851, 2021.

  • Momoka Kawai, Shuhei Kodama, and Tokiichiro Takahashi: Support System for Etching Latte Art by Tracing Procedure Based on Projection Mapping, Graphics Interface 2020, 2020.

  • Shuhei Kodama, Pierre Poulin, Tomoaki Moriya and Tokiichiro Takahashi: Creativity Enhancement of Painterly Rendering using a Suggestive Interface, Computers & Graphics, vol.71, pp.42-54, 2018.

Peer-Reviewed Short Papers and Posters

  • Rin Izumi, Shuhei Kodama and Tokiichiro Takahashi: Lyrics onto Cityscape: A Mixed Reality System for Appreciating Lyrics Projected onto a Cityscape While Walking, ICAT-EGVE2022 Posters, 2022. (Best Poster Award)

  • Rena Okuri, Shuhei Kodama and Tokiichiro Takahashi: Eyeliner Makeup Support System for an Attractive Face According to Eyelids Shapes, ACM Symposium on Applied Perception 2022 Posters, 2022.

  • Reika Yagi, Shuhei Kodama and Tokiichiro Takahashi: An Abstract Drawing Method for Same Shaped but Densely Arranged Many Objects, ACM SIGGRAPH ASIA 2021 Posters, 2021.

  • Rena Okuri, Shuhei Kodama and Tokiichiro Takahashi: Double-Eyelid Eye Size Illusion Brought by Eyeliner of Different Thicknesses and the Sense of Incongruity on the Illusion as an Effects, IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2021), 2021.

  • Momoka Kawai, Shuhei Kodama and Tokiichiro Takahashi: A Free Pour Latte Art Support System by Showing Paths of Pouring Milk Using Design Templates, Proc. of the 6th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2019), 2A-2, 2019.

  • Hina Yumoto, Shuhei Kodama and Tokiichiro Takahashi: A real-time rendering method based on contour drawing techniques in Japanese ink painting, Proc. of the International Workshop on Advanced Image Technology 2019 (IWAIT 2019), no. 75, 2019.

  • Yuta Yamabe, Shuhei Kodama, Tomoaki Moriya, Yuki Morimoto and Tokiichiro Takahashi: Evaluation of Randomness and Uniformity of Painterly Style Image Generation Methods, Proc. of the International Workshop on Advanced Image Technology 2017 (IWAIT 2017), no. 3D-5, 2017.

  • Shuhei Kodama, Tokiichiro Takahashi: Suggestive Painterly Style Image Generation System to Satisfy User Preferences, ACM SIGGRAPH 2016 Posters, no. 17, 2016.

  • Yuta Yamabe, Shuhei Kodama, Tomoaki Moriya, Yuki Morimoto and Tokiichiro Takahashi: Fast Painterly Style Image Generation Based On Fast Sampling by Paving Disks with Random Radii, Proc. of the International Workshop on Advanced Image Technology 2016 (IWAIT 2016), no. 1B-1, 2016. (Best Paper Award)

  • Shuhei Kodama, Junichi Sugita, Tomoaki Moriya and Tokiichiro Takahashi: Fast Generation of Various Painterly Style Images Based on Scalable Poisson Disk Pre-Sampling Technique, Proc. of 2015 Joint Conference of International Workshop on Advanced Image Technology and International Forum on Medical Imaging in Asia 2015 (IWAIT and IFMIA 2015), no. 373, 2015.