Portal to Other Dimensions: use of Computer Vision to create art work from day life images

This work aims to combine classic and contemporary paintings with the external world by altering the interior of a door into another style in real-time photos and/or videos, creating a portal effect to provide an interactive experience with artworks. To achieve this, various techniques from Artificial Intelligence and Computer Vision were employed, primarily focusing on convolutional neural networks (CNNs) with supervised training. Models proposed for semantic segmentation problems were used for door detection and style transfer to stylize the input image. Finally, we conclude with an analysis of the results for each network individually and in combination, ensuring that the metrics and approaches were satisfactory. With our results, we were able to offer an accessible and interactive way to bring art into the daily lives of many people.

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Publication Details

Journal
Revista de Informática Teórica e Aplicada
Published
2025-02-20
DOI
https://doi.org/10.22456/2175-2745.143513
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

Portal to Other Dimensions: use of Computer Vision to create art work from day life images

Lucas Vieira dos Santos, Michel M. Silva, Ana Clara Fraga Osias, Luísa Ferreira
Revista de Informática Teórica e Aplicada
3D Surveying and Cultural Heritage
article

Portal to Other Dimensions: use of Computer Vision to create art work from day life images

Lucas Vieira dos Santos, Michel M. Silva, Ana Clara Fraga Osias, Luísa Ferreira
article en

Abstract

This work aims to combine classic and contemporary paintings with the external world by altering the interior of a door into another style in real-time photos and/or videos, creating a portal effect to provide an interactive experience with artworks. To achieve this, various techniques from Artificial Intelligence and Computer Vision were employed, primarily focusing on convolutional neural networks (CNNs) with supervised training. Models proposed for semantic segmentation problems were used for door detection and style transfer to stylize the input image. Finally, we conclude with an analysis of the results for each network individually and in combination, ensuring that the metrics and approaches were satisfactory. With our results, we were able to offer an accessible and interactive way to bring art into the daily lives of many people.

Revista de Informática Teórica e AplicadaVol. 32(1)
Universidade Federal de Viçosa (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 97%
3D Surveying and Cultural Heritage
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