Depth-based Anisotropic Kuwahara Filtering

Jeong Ho Ahn, Jong Chul Yoon, In Kwon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

When artists draw a picture of photorealistic scene in an image, they describe only specific parts that represent characteristic features carefully, but they express the parts about less important region roughly. In study about Non-photorealistic rendering, image abstraction research reflects such artist's character. Thus, methods about image abstraction commonly preserve image features and flatten non-feature area. Recently, Kyprianidis et al. [2009] introduced Anisotropic Kuwahara Filtering (AKF) which generates feature preserved image abstraction using the smoothed structure tensor. However since they used only color information to defining anisotropic ratio, different regions that have similar color are conquered by each other unintentionally. Hence, we propose the depth-based AKF method that considers not only color, but also depth to generate image abstraction where boundary feateures are effectively preserved.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2010 Posters, SIGGRAPH '10
DOIs
Publication statusPublished - 2010 Sep 7
EventACM SIGGRAPH 2010 Posters, SIGGRAPH '10 - Los Angeles, CA, United States
Duration: 2010 Jul 262010 Jul 30

Publication series

NameACM SIGGRAPH 2010 Posters, SIGGRAPH '10

Other

OtherACM SIGGRAPH 2010 Posters, SIGGRAPH '10
CountryUnited States
CityLos Angeles, CA
Period10/7/2610/7/30

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Ahn, J. H., Yoon, J. C., & Lee, I. K. (2010). Depth-based Anisotropic Kuwahara Filtering. In ACM SIGGRAPH 2010 Posters, SIGGRAPH '10 [123] (ACM SIGGRAPH 2010 Posters, SIGGRAPH '10). https://doi.org/10.1145/1836845.1836977