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What and Who
Title:Interactive Multi-style Pen-and-Ink Drawings from Images
Speaker:Yue Zhang
coming from:Oregon State University
Speakers Bio:Yué Zhang is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. She received her Ph.D. degree in Applied Mathematics from North Carolina State University in 1997. Before joining Oregon State University, Yue spent over 14 years at Michelin conducting research in tire fabrication and performance. Yue's research interests are in the areas of numerical modeling and visualization of physical phenomena, information visualization, computer graphics and their applications in social sciences, biological sciences, and mathematical education. In 2016, she received a prestigious National Science Foundation award for researchers new to academia.
Event Type:Talk
Visibility:D1, D2, D3, INET, D4, D5, SWS, RG1, MMCI
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Level:AG Audience
Language:English
Date, Time and Location
Date:Friday, 19 October 2018
Time:13:00
Duration:-- Not specified --
Location:Saarbrücken
Building:E1 4
Room:019
Abstract
Existing research in pen-and-ink stylization of images has focused on using either stippling or hatching. In this paper, we introduce an interactive multi-style rendering system in which an image can be stylized with stippling, hatching, and scumbling. Different shading techniques can be used on different objects in the image, leading to various effects such as emphasis, de-emphasis, increase and decrease in contrast, and illusion of texture and material properties in objects. Moreover, different techniques can be applied on the same object, thus enabling illustration of mirrors and transparent materials. We also develop novel techniques that allow the user to design any scumbling pattern beyond circles (circulism). Our techniques can also generate high-quality scumbling results based on the designed pattern. Ensuring adjacent objects with different shading techniques having matching tones is essential in multi-style pen-and-ink drawing. We address this problem using an image-based technique.

All of this research leads to an interactive multi-style pen-and-ink system from images.

Contact
Name(s):Karol Myszkowski
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created:Sabine Budde/AG4/MPII/DE, 10/16/2018 02:47 PM Last modified:halma/MPII/DE, 11/07/2018 04:52 PM
  • Sabine Budde, 10/16/2018 02:50 PM -- Created document.