Abstrakti
The initial spark for this work was a thesis project, exploring the potential of patch-based image processing. The visually interesting results inspired me to pursue a more artistic development of the technique.
In the core of this work is an algorithm programmed using MATLAB, that first breaks a set of images into patches, and uses k-means clustering to group similar patches together. Then patches of a reference image are replaced by members of the best matching group, according to a selected distance metric, creating a new visual narrative.
Incorporating an element of randomness in the selection process for each representative of patches, in each frame of the video, creates a sense of movement and fluidity that is visually captivating. The residual, obtained by subtracting the processed image from the original, visualizes algorithm performance and the relation of the two images.
By reconstructing images from completely different types of images, like a deer from historical cityscapes, I invite viewers to consider new ways of visualizing the world around us.
In the core of this work is an algorithm programmed using MATLAB, that first breaks a set of images into patches, and uses k-means clustering to group similar patches together. Then patches of a reference image are replaced by members of the best matching group, according to a selected distance metric, creating a new visual narrative.
Incorporating an element of randomness in the selection process for each representative of patches, in each frame of the video, creates a sense of movement and fluidity that is visually captivating. The residual, obtained by subtracting the processed image from the original, visualizes algorithm performance and the relation of the two images.
By reconstructing images from completely different types of images, like a deer from historical cityscapes, I invite viewers to consider new ways of visualizing the world around us.
| Alkuperäiskieli | englanti |
|---|---|
| Tuotoksen media | youtube |
| Tila | Julkaistu - 11 heinäk. 2023 |
| OKM-julkaisutyyppi | I1 Audiovisuaalinen materiaali |
| Tapahtuma | Bridges 2023: Mathematics・Art ・Music・Architecture・Culture - Dalhousie university, Halifax, Kanada Kesto: 27 heinäk. 2023 → 31 heinäk. 2023 https://www.bridgesmathart.org/b2023/ |
Tieteenalat
- 111 Matematiikka