# Color Harmonization, Deharmonization and Balancing in Augmented Reality
## 4 Case Studies
### Results
#### 4.1.2 Human Avatar  
In this case, we have focused on the recoloring of clothes of an avatar. The avatar was placed in an indoor environment in front of a bookcase. By applying the proposed method to the recoloring of clothes of the human avatar, a twofold goal should be achieved, i.e., a better harmonization with real objects by also maintaining a good visibility. Moreover, three different colors have been extracted from the generated palette to recolor the shirt, the trousers, and the shoes. Figure 8 depicts the colors schemes and the generated color palettes.  
The harmonic approach identifies a region of colors that are close to the distribution of real colors. Furthermore, in this case, the real distribution covers a large region on the color wheel. More specifically, as it is possible to observe from the schemes, the range of colors varies from orange to blue. The minimum value of the covered area is reached by applying the template i-type with a value of 27.4%, while the maximum value is relative to the adoption of the template T with a percentage value that is equal to 91.1%.  
The application of the disharmonic strategy leads towards the identification of a region of colors that are far from the real distribution. In particular, the covered area reaches the maximum value (27.4%) and the minimum value (2%) in the cases of template T and template i, respectively. By applying the last approach, the covered area varies between a minimum value of 24.6% (template I-type) and a maximum value of 32.2% (template X). In Table 2, percentages of covered areas by the selected template are reported for each experiment.  
Figure 8: Color schemes and color palettes related to the human avatar.  
Figure 7: Recolored porcelain rabbit family by adopting the three strategies and the template Y.  
Figure 9 shows different instances of the human avatar with the recolored clothes. As previously mentioned, only three colors have been used to change the colors of clothes. The application of the harmonic approach ensures similar colors to be assigned to virtual objects. In detail, templates i and I generate three similar colors, which are shades of orange. Furthermore, the adoption of V and Y templates produces two similar colors to the previous ones, but the third is a shade of yellow applied to the shirt and the trousers, respectively. The application of the X template generates a bit different recoloring than the previous ones. In particular, colors are shades of yellow and brown. By using T and L templates, a shade of brown is applied to the shirt, while shades of blue and violet are assigned to the trousers and shoes.  
The disharmonic approach, instead, produces colors that ensure a high contrast with the real one. When I and X templates are selected, the clothes of a human avatar are recolored with shades of violet. In the cases of V and T templates, shades of green are proposed. The application of L and Y templates generated colors represented by shades of blue and violet. Finally, the template i produces shades of blue. The balance approach generates shades of blue in the case of L, I, and X templates, while shades of light blue  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline  & **i** & **V** & **T** & **L** & **I** & **Y** & **X** \\ \hline
**HARMONIC** & 27.4\% & 65\% & 91.1\% & 87.1\% & 40\% & 60\% & 85.8\% \\
**DISHARMONIC** & 2\% & 18\% & 27.4\% & 5\% & 2.2\% & 17.6\% & 17.7\% \\
**BALANCE** & - & - & - & 24.6\% & 28\% & 25.2\% & 32.2\% \\ \hline \hline \end{tabular}
\end{table}
Table 2: Covered areas for each experiment related to the human avatar.  
Figure 9: Recolored human avatar by applying all templates and the three strategies.  
when Y template is selected. High-resolution images about these visual examples can be found in the Supplementary Materials.