4.6 Article

Color Harmonization, Deharmonization and Balancing in Augmented Reality

期刊

APPLIED SCIENCES-BASEL
卷 11, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/app11093915

关键词

augmented reality; color harmonization; image processing

资金

  1. European Union [739578]
  2. Government of the Republic of Cyprus
  3. project SMILE by Italian MISE under the PON Imprese e Competitivita program [F/190084/03/X44-CUP: B21B19000530008 COR: 1679960]

向作者/读者索取更多资源

Color schemes are crucial in blending virtual objects with real environments, and good schemes improve user perception and are essential for AR. Novel methods based on color harmonization are proposed, including strategies like harmonic, disharmonic, and balance to meet various needs in different settings.
Color schemes play a crucial role in blending virtual objects with the real environment. Good color schemes improve user's perception, which is of crucial importance for augmented reality. In this paper, we propose a set of novel methods based on the color harmonization methodology to recolor augmented reality content according to the real background. Three different strategies are proposed-harmonic, disharmonic, and balance-that allow for satisfying different needs in different settings depending on the application field. The first approach aims to harmonize the colors of virtual objects to make them consistent with the colors of the real background and reach a more pleasing effect to a human eye. The second approach, instead, can be adopted to generate a set of disharmonious colors with respect to real ones to be associated with the augmented virtual content to improve its distinctiveness from the real background. The third approach balances these goals by achieving a compromise between harmony and good visibility among virtual and real objects. Furthermore, the proposed re-coloring method is applied to three different case studies by adopting the three strategies to meet three different objectives, which are specific for each case study. Several parameters are calculated for each test, such as the covered area, the color distribution, and the set of generated colors. Results confirm the great potential of the proposed approaches to improve the AR visualization in different scenarios.

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