基于人脸分量和纹理分割的机器人肖像铅笔素描算法

Qiaochu Gao, Huicui Chen, Runze Yu, Jinsong Yang, Xiaohui Duan
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引用次数: 6

摘要

随着对机器人和机械臂研究的深入,人体肖像绘画机器人作为一种典型的艺术创作应用出现。传统的方法主要依赖于几何和纹理特征,没有语义信息。在该系统中,人脸关键点与灰度信息融合,以丰富人像。在绘画过程中,可以通过笔触来区分肖像的不同组成部分,如头发或眼睛。利用聚类算法将素描图案添加到线条绘制模型中,呈现出独特的风格。画出的结果结合了与之前作品不同的轮廓和素描人物,每幅轮廓肖像不到两分钟,每幅素描图案不到4-6分钟。
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A Robot Portraits Pencil Sketching Algorithm Based on Face Component and Texture Segmentation
As researches on robots and robotic arms going further, human portrait painting robot appears as a typical art creation application. Traditional ways to achieve this goal mainly depend on the geometric and texture features with no semantic information. In this system, to enrich the portrait, key points of human faces are fused with gray scale information. During the process of drawing, different components of the portrait can be distinguished such as hair or eyes by strokes. Besides, sketch pattern is added to line drawing model using cluster algorithm and presents a unique style. The painted results combine outline and sketch characters different from preceding work and each costs less than two minutes to finish an outline portrait and 4-6 minutes with sketch pattern.
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