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http://dx.doi.org/10.9717/kmms.2017.20.4.713

A Pen Drawing Method by Tensor-based Strokes Generation  

Shin, Do-kyung (Avionics R&D Lab, LIG Nex1)
Ahn, Eun-young (Dept. of Information Communication Engineering, Hanbat National University)
Publication Information
Abstract
We present a non-photo realistic pen-ink drawing method for outlining and shading of the input image. Especially, we focus on the detailed illustration of the image of which stroke's direction is important. The pen-ink renderer is an alternative display models user can generate traditional illustration renderings of their photo realistic image. The previously proposed pen drawing methods produce feasible description in general image but it is difficult to express in detail for the sophisticated images that need to consider the direction of stroke for each image region. In order to overcome the disadvantages of the conventional method, a direction vector is extracted from a tensor field and we determine a stroke's direction in consideration of not only an edge area but also a gradient of a surrounding area in the image. For more detailed description for the sophisticated image, we generate white noises based on the light and shade of the input image and determine the direction and length of the stroke by using the tensor field for each generated white noise. The proposed method works particularly well for traditional architectural images where the direction and detailed description of the pen is important.
Keywords
Pen Drawing; Non-photo Realistic Rendering; Stroke; Virtual Reality; Augmented Reality;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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