# Color Harmonization, Deharmonization and Balancing in Augmented Reality
## 5 Discussion  
Our AR-based method allows for recoloring virtual objects according to the colors of the real background. To this end, color schemes by [48; 50] have been used to identify a set of possible colors in HSV color space. In addition, three different strategies for recoloring have been also implemented and, in particular, the harmonic, disharmonic, and balance approaches. Three different case studies have been considered in our analysis. More specifically, two different porcelain design objects, a human avatar positioned in front of a bookcase, and finally, the famous painting, _The last supper_ by [PERSON] in which labels containing the names of apostles have been added to the piece. Considering the recoloring of the porcelain owl family, the most interesting results are obtained when the harmonic approach is adopted. Colors assigned to virtual objects are harmonic with the real background. Therefore, the porcelain owl family appears aesthetically pleasing to the user and well-integrated to the real environment. This is particularly true in the cases of i,V, I, Y, and X templates, where shades of brown are assigned to the virtual content. Differently, the application of T template produce a shade of green that is not so harmonic with the background. Since the goal of placing a piece of  
Figure 11: Recolored labels by applying all templates and the three strategies. furniture in a room for interior design applications is to reach optimal integration into the real environment, the harmonic approach seems the best choice. Similar results have been obtained with the recoloring of the porcelain rabbit family placed on living-room furniture. Regarding the recoloring of the clothes of the human avatar, interesting recoloring is obtained when both harmonic and balance approaches are adopted. In the first case, i, V, I, Y, and X templates produce similar results that make the avatar harmonic with the real background. The use of T and L templates, instead, allows for recoloring virtual objects with colors that are closer to blue and violet hues. More interesting results are obtained when the balance approach is applied. In fact, the clothes of the avatar are recolored by using shades of blue. In this way, clothes appear harmonic with the real background, and at the same time, a good level of visibility is ensured. The templates L and Y generate similar colors really close to blue and light blue. On the contrary, template I and X recolor virtual clothes with shades of dark blue and violet. In this case, the use of the balance approach seems to be the best as it allows for achieving a compromise between harmony and visibility of virtual objects blended with real ones. In the recoloring of the labels contained in the painting, the main goal is to ensure text legibility. Differently from the previous case studies, the application of the disharmonic approach seems to bring the best result. In particular, the recolored labels can be categorized into three different groups. The first group includes V and T templates according to which shades of green have been generated and applied to the virtual labels. The second one, instead, contains the results obtained when i and Y templates are used. In particular, shades of blues have been associated with virtual objects. The third group proposes shades of violet (templates L, I, and X). However, it can be observed that the balance approach leads towards similar results, though the too dark colors do not ensure optimal visibility in some parts of the painting. Overall, our AR method proposes an interesting method to integrate virtual objects into the real scenario by automatically choosing colors to be associated to the augmented content. Thanks to shadows and environment lighting conditions estimated through the ARCore framework, it has been possible to achieve high quality in the integration of virtual information into the real world. The limitations are mostly related to the lack of usability and perception studies.