Flow-Based Image Abstraction

Henry Kang; Seungyong Lee; Charles K. Chui

doi:10.1109/TVCG.2008.81

Flow-Based Image Abstraction

Henry Kang, Seungyong Lee, Charles K. Chui

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Abstract

We present a non-photorealistic rendering technique that automatically delivers a stylized abstraction of a photograph. Our approach is based on shape/color filtering guided by a vector field that describes the flow of salient features in the image. This flow-based filtering significantly improves the abstraction performance in terms of feature enhancement and stylization. Our method is simple, fast, and easy to implement. Experimental results demonstrate the effectiveness of our method in producing stylistic and feature-enhancing illustrations from photographs.

Original language	American English
Journal	IEEE Transactions on Visualization and Computer Graphics
Volume	15
DOIs	https://doi.org/10.1109/TVCG.2008.81
State	Published - 2009

Disciplines

Computer Sciences

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10.1109/TVCG.2008.81License: Unspecified

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title = "Flow-Based Image Abstraction",

abstract = " We present a non-photorealistic rendering technique that automatically delivers a stylized abstraction of a photograph. Our approach is based on shape/color filtering guided by a vector field that describes the flow of salient features in the image. This flow-based filtering significantly improves the abstraction performance in terms of feature enhancement and stylization. Our method is simple, fast, and easy to implement. Experimental results demonstrate the effectiveness of our method in producing stylistic and feature-enhancing illustrations from photographs. ",

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PY - 2009

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AB - We present a non-photorealistic rendering technique that automatically delivers a stylized abstraction of a photograph. Our approach is based on shape/color filtering guided by a vector field that describes the flow of salient features in the image. This flow-based filtering significantly improves the abstraction performance in terms of feature enhancement and stylization. Our method is simple, fast, and easy to implement. Experimental results demonstrate the effectiveness of our method in producing stylistic and feature-enhancing illustrations from photographs.

UR - https://ieeexplore.ieee.org/abstract/document/4522547

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DO - 10.1109/TVCG.2008.81

M3 - Article

VL - 15

JO - IEEE Transactions on Visualization and Computer Graphics

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Flow-Based Image Abstraction

Abstract

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