Abstract: To achieve user interactive color design, this study takes furniture color interactive design as an example, introduces artificial intelligence and augmented reality virtual implantation technology, allowing users to design furniture colors and styles according to their own ideas. By improving cyclic consistency to generate adversarial networks, furniture image style transfer is carried out, and indoor feature point classification and virtual model registration are carried out through density based spatial clustering and other methods to design an unlabeled augmented reality furniture system. The results showed that compared to other methods, the improved cyclic consistency generation adversarial network had a higher structural similarity value. In the zebra to horse image, the structural similarity value was 0.987, which was 0.018 higher than the algorithm before improvement. The registration effect of density-based spatial clustering algorithm was good, with a shorter time consumption in different scenarios, and a maximum time consumption of 0.308 seconds in occluded composite scenes. The performance of the drawing component is good, with each process of tracking threads taking less than 20ms. The research method not only satisfies users in designing furniture colors and styles, but also enhances their experience.

Jun Ma and Ying Chen, “Interactive Color Design Based on AR Virtual Implantation Technology Between Users and Artificial Intelligence” International Journal of Advanced Computer Science and Applications(IJACSA), 15(8), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150899

@article{Ma2024,
title = {Interactive Color Design Based on AR Virtual Implantation Technology Between Users and Artificial Intelligence},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150899},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150899},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {8},
author = {Jun Ma and Ying Chen}
}